Alternatives to inferdo

AutoML Vision provides insights from images at the edge and cloud. Pre-trained Vision API models can also be used to understand text and detect emotion. Google Cloud offers two computer vision products, which use machine learning to help understand your images with an industry-leading prediction accuracy. Automate the creation of custom machine learning models. Upload images, train custom image models using AutoML Vision's intuitive graphical interface, optimize your models for accuracy and latency, and export them to your cloud application or to a range of devices at the edge. Google Cloud's Vision API provides powerful pre-trained machine-learning models via REST and RPC APIs. Assign labels to images and classify them quickly into millions of predefined groups. Detect faces and objects, read printed and handwritten texts, and add valuable metadata to your image catalog.

By embedding vision capabilities into your apps, you can increase content discovery, automate text extract, analyze video in real-time, and create products that more people will use. Visual data processing can be used to identify content with objects and concepts. It can also generate image descriptions, extract text, and moderate content. It can also be used to understand people's movements in physical spaces. You don't need to have any machine learning skills.

Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses. Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.

Our image and video recognition APIs have been proven to be highly scalable and can be integrated into your own applications without the need for machine learning expertise. EyeRecognize's image and video recognition API services can be used to identify objects, people and text in images and videos. You can also detect faces and NSFW material. Face Analysis and Face Detection, identify all faces in images and videos and extract attributes such as gender, age, eyes and emotion. Text Detection: Extract text from images, such as street signs, license plates, advertising, and brand name. Identify NSFW ("Not Safe for Work") and other inappropriate content in both video and images. EyeRecognize is a collective of over 40 years of artificial intelligence-powered applications. They are the pioneers in using machine learning to automate content moderation on social media.

Luxand FaceSDK, a cutting-edge cross-platform software kit, is designed to deliver high performance face recognition, facial feature detection, and identification. Luxand FaceSDK is a cross-platform software development kit that integrates seamlessly into web, desktop and mobile applications. It enables face-based authentication and automatic face detection and identification, elevating user experience to a new level.

For a seamless user experience, embed facial recognition in your apps. No machine learning expertise required. Face detection recognizes faces and attributes in images; person identification matches individuals in your private repository of up 1 million people; perceived emotion recognition detects a variety of facial expressions such as fear, happiness, contempt, and neutrality; and recognition and grouping similar faces in images. Face recognition can be based on a variety of attributes. All you need to do is make one API call and add facial recognition to your apps. Run Face on the cloud or at the edge in containers. Rely on enterprise-grade privacy and security for both your data as well as any models. Identify, identify, analyze, and analyze faces in images or videos. This technology can be used to support different scenarios. Detect one or more faces and attributes.

Always know who is at your front door. Face Recognition Edge AI from Xailient allows users to recognize faces so they can always see who is visiting. CVOps describes the enterprise's business process, the job role and the enabling tools to deliver Computer Vision in production. Orchestrait is the first privacy-safe Face Recognition software that uses cutting-edge Edge AI technology to ensure compliance with privacy laws and biometric data protection laws in all jurisdictions. Collect data in an ethical and targeted manner. Privacy Safe Data Collection allows you to only collect the data you need. Xailient Edge AI technology can detect something approaching your home as far as 8 meters away. Motion detection is a first step in completing further detection analyses.

Imagga's API allows you to create the next generation image recognition applications. Our machine learning technology allows you to create intelligent apps. Automatically assign tags for your images. A powerful API for image analysis and discovery. Your application can enable product discovery. A powerful API to build visual search capabilities. Your applications can now unlock facial recognition. A powerful API for building facial recognition. Our image A.I. can be trained To organize your photos in your own categories. Automatically categorize all your image content. A powerful API for instant image classification. Automated moderation of adult image content based on state-of-the-art image recognition technology. Beautiful thumbnails automatically generated. Powerful API for content-aware clipping. Let colors add meaning to your product photos. A powerful API for color extraction.

BriefCam®, a complete video content analytics platform, drives exponential value from surveillance system investment by making video searchable. It also makes it actionable and quantifiable. VIDEO SYNOPSIS® and Deep Learning solutions combine to enable quick video review, search, face recognition, and quantitative video insights. This technology improves post-event investigation productivity by pinpointing individuals and objects of interest quickly and precisely. Organizations can respond quickly to changes in their environment with real-time alerting capabilities. Users can quantitatively analyze their video by extracting and aggregating video metadata, such as the names of men, women, children and vehicles. BriefCam's video content analytics platform for video content is used by law enforcement, public safety agencies, government and transport agencies, major corporations, healthcare, and educational institutions.

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complicated AI tools is hard. And confusing. Especially if you don't know machine learning. That’s why Nyckel built a platform that makes image and text classification easy. In just a few minutes, you can train an AI model to identify attributes of any image or text. Our goal is to help anyone spin up an image or text classification model in just minutes, regardless of technical knowledge.

Register now to begin Lambda's facial detection & recognition API. You can use the online tool to input a URL, and we'll tell if it contains celebrities. To test our face detection API, you can also use the provided form. We will send you a photo and tell you if it contains facial features, where they are located, and the location of facial features such as eyes, nose, and mouth. Your Mashape Key will be used to call the API. To get your key, you will need to sign up to our API. An album is a collection of images that have been labeled. Albums can be used to recognize images that haven’t been seen before. Let's make our first album. You can give the album a few images with labels. The more images you provide, the more accurate the model will become. You can either give us urls or files. The album will build a model using the labeled photos. Give the album a picture to recognize. There are two options: urls or files.

We offer ready-to-use components such as face recognition SDKs as well as custom software design services and hosted web services that focus on image and video analysis, faces, and objects recognition. Our technology is used by video and image archives, web advertising, entertainment projects, media content producers and video surveillance and security solutions. It also has applications for end users and b2b developers. The Betaface facial recognition suite includes complex operations such as face detection, identification, verification or 1:1,1:N matching, biometric measurements, facial analysis, face tracking on video, age and gender recognition, facial features and shape description, hairstyle analysis, and hairstyle color detection. Our technology is used in video and images archives, entertainment projects, and web advertising.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Chooch is a leading provider of computer vision AI solutions that combine to make cameras smart. Chooch's AI Vision technology automates manual visual review tasks to gather real-time actionable data for driving critical business decisions. Chooch has helped customers deploy AI Vision solutions for workplace safety, retail loss prevention, retail analytics, inventory management, wildfire detection, and more.

Integrate Face Recognition using our cloud API or host Kairos on you own servers to have complete control over data, security, privacy, and create safer customer experiences. Our company is the world's leading face recognition AI company. We are committed to ethical identity and a representation of our diverse communities. Our innovative API platform makes it easier for developers and businesses to integrate human identity into software. We use deep learning and computer vision to recognize faces in photos, videos, and the real world. Kairos offers developers and businesses around the world state-of-the art, ethical face recognition. Kairos allows developers and businesses to integrate our API with ease. Find human faces in photos. It can detect the age groups of a child, young-adult, senior, or adult and determine the gender of each face, male or female.

Paravision is a platform for computer vision developers that powers face recognition applications in mission-critical situations. Our SDK's, API's, and API's provide complete security and frictionless experiences. They are powered by an industry-leading feature list.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

You can train your own models, access pre-trained computer vision models, and templates for creating AI apps. You can start creating your own dataset to detect objects by adding images of the object. Each dataset can contain up to 5000 images. Images are automatically added to your dataset and pushed into training. You will be notified once the model has finished training. To use your model for detection, you can simply download it. For quick coding, you can also add your model to one of our pre-existing templates. Our mobile app, which is available for both Android and IOS, uses the power of computer vision in order to assist people with complete blindness in their daily lives. It can alert you to dangerous objects and signs, recognize common objects, recognize text as well currencies, and understand basic scenarios using deep learning.

OpenCV (Open Source Computer Vision Library), is an open-source machine learning and computer vision software library. OpenCV was created to provide a common infrastructure to support computer vision applications and accelerate machine perception in commercial products. OpenCV is a BSD-licensed product that makes it easy to modify and use the code by businesses. The library contains more than 2500 optimized algorithms. This includes a comprehensive set both of classic and modern computer vision and machine-learning algorithms. These algorithms can be used for recognizing faces, identifying objects, tracking camera movements, classifying human actions in videos and producing 3D point clouds from stereo-cameras. They can also be used to stitch images together to create a high resolution image of the entire scene, find similar images from a database, remove red eyes from images taken with flash, recognize scenery, and follow eye movements.

AlwaysAI offers developers a simple and flexible way for them to create, train, and deploy computer-vision applications to a wide range of IoT devices. You can choose from a variety of deep learning models, or upload your own. Our flexible and customizable APIs make it easy to quickly enable core computer vision services. You can quickly prototype, test, and iterate using a variety camera-enabled ARM32, ARM64, and x86 devices. Identify objects in an image using their names or classifications. Identify and count objects in real-time video feeds. Follow the same object through a series of frames. To count or track faces or complete bodies in a scene, locate them. Identify and draw borders around objects. You can separate the key objects from the background visuals in an image. Determine human body postures, fall detection, and emotions. To train an object detection model, use our model training toolkit. You can create a model that is tailored to your particular use-case.

Face++ can detect and locate human faces in an image and return high-precision face bounding box results. You can check if two faces belong to the exact same person. To evaluate the similarity, you will receive a confidence score as well as thresholds. Face++ Detect API can detect faces in images and return a face bounding box as well as a token for each one. For further processing, you can pass the face token on to other APIs. Detect API allows you to retrieve face landmarks and attributes of the top five most detected faces. All APIs are free to use. You can upgrade to paid service based on your business volume using the Pay As You Go or QPS service. SDK licensing options can also be found on different devices. Face++ allows users to add advanced, deep learning-based image analysis recognition technologies to their applications with simple and powerful SDKs and APIs.

It has capabilities such as face detection, face comparison, attribute analysis and liveness detection. It can be used in a variety of scenarios, including financial, PAN security and retail industries. It meets business needs, such as human face attendance and gate access. It can detect a human face quickly and return to its human face box position. It can also identify different types of attribute information and output 150 key coordinates on the facial. It can compare the similarities between two faces and return a comparison result. It can then judge if they are the same face. It supports the verification by using the authoritative data sources of the name, the identity card number and the face picture. It can therefore judge the authenticity of a user's identity accurately. It can support liveness detection and call face detection.

Advanced facial recognition technology for law enforcement and forensic analysts. Convert 2D images to 3D avatars for facial feature supraimposition. FaceR Identity Management Solution is a centralized storage system and management system for advanced 3D facial identification powered by Animetrics' FaceR technology. Police officers, forensic investigators, and security personnel all have a pressing need for suspects' identities. This includes any photographic evidence that captures a suspect's face, including video surveillance cameras. ForensicaGPS is a new biometric solution by Animetrics that allows officers to identify individuals using low-resolution images or video. ForensicaGPS uses advanced facial recognition technology to speed up and improve the accuracy of criminal investigation. ForensicaGPS' accuracy lies in its ability to convert two-dimensional facial pictures into three-dimensional avatars.

IntelliVision facial recognition software searches a database of faces and compares them to the scene to find a match. Face Recognition detects faces within the camera's field-of-view - up to 15 at a time - and matches them with faces stored in the database. Anti-spoofing is achieved by "liveness" testing, which does not require a stereo or 3D camera. Faces can be entered into the database using either existing still images or the video camera. IntelliVision's License Plate Recognition has matured over many years of use. It takes into account variables like movement and high speeds that are natural to vehicle monitoring.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Prisma's facial identification system can identify or verify a person using a digital image or a frame from a source video. Facial recognition systems can be used in many ways. However, the basic principle is to compare selected facial features of an image with faces in a database. It can also be described as a biometric AI-based application that can uniquely identify someone by analysing patterns based on facial textures and shapes. The print content would serve as a marker and match the reference image. Image recognition engines can be used to market the brand by linking logos to ads, websites, or information. The process of taking images from mobile devices and matching them with a reference image. Prisma has now made the same image recognition algorithms available for applications, drawing on its many years of experience with image recognition.

PimEyes is an internet face search engine that searches the Internet for images containing given faces. PimEyes uses face recognition technology to perform a reverse image look. Find a face online and verify where it appears. Our face finder will help you find a face while protecting your privacy. You can search by image using facial recognition online. PimEyes is an online face search engine and photo search engine that is available to everyone. It is a great tool for auditing copyright infringement. We believe you have the right and obligation to search the Internet for yourself and to protect your privacy. We use the most recent technologies, artificial intelligence, and machine learning to help you find your photos on the Internet. We also help you defend yourself against identity thieves, scammers, and people who illegally use your image. PimEyes is a multi-purpose tool that allows you to find your face online, reclaim image rights, monitor your likeness, and track your movements.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Create a custom computer vision model in minutes. AI Custom Vision is part of Azure AI services and allows you to customize and embed the latest computer vision image analysis in specific domains. Create frictionless customer experiences. Optimize manufacturing processes. Accelerate digital marketing campaigns. No machine learning knowledge is required. Set your model to recognize a specific object for your application. Easy to build your image identifier using the simple interface. Upload and label a few images to start training your computer vision models. The model will test itself and improve its precision as you add more images. Use customizable, built-in retail, manufacturing, or food models to speed up development. Minsur, the world's largest mine of tin, uses AI Custom Vision to achieve sustainable mining. You can rely on enterprise-grade privacy and security for your data.

When two faces are being compared, the technology can perform a depth analysis. It will analyze and determine the threshold of similarities between the faces. Our highly efficient security system combined with large business data platform has allowed us to synthesize high-quality large-scale data-training sets. The technology can use deep neural network training to produce effective face detection algorithms that can detect faces in different situations. Two faces can be compared with high accuracy. WISE AI, an ASEAN-based Artificial Intelligence platform company, specializes in facial recognition (FR). The company has local offices in Singapore Malaysia Thailand and Thailand and offers both business- and consumer-oriented AI products. WISE AI collaborates closely with System Integrators to provide AI-powered solutions for customers in various industries.

We use the world-leading FaceVACS technology to provide our customers with simple-to-use, scalable, and customizable face recognition software. Our products can be easily integrated through open system architecture and professional support. ID agencies can compare ID photos with existing images to prevent ID fraud and detect clerical errors. Agency can also perform database de-duplication (1.n or n.n) to clean, maintain, and compare ID databases with facial photos. FaceVACS-DBScan LE allows law enforcement personnel to speed up criminal investigations and allow them to act on match results within a short time frame after a crime is committed.

Facial recognition is increasingly popular, especially on mobile devices. Because of the ease of access to images via social media and improvements in digital and print resolution, biometric systems have security holes that fraudsters could exploit to successfully spoof facial recognition systems. These presentation attacks are also known as "presentation attacks" and include printed photos, cutout masks and digital and video replay attacks. Liveness has the potential to increase security and detect fraud. Passive face liveness from ID R&D is both safe and simple to use. While other products require additional steps and time to perform a liveness check, IDLive Face is invisible to customers. They don't even notice it's happening. The software doesn't give fraudsters any clues about how to beat it. Passive life is much easier for users to understand, so abandonment rates are lower and require less human intervention.

CompreFace is an open-source, free face recognition service. It can be integrated into any system without the need for machine learning skills. CompreFace comes as a docker compile config. It supports various models that run on CPU and GPU. Our solution is based upon state-of the-art methods and libraries such as InsightFace and FaceNet. It makes it easier to detect unauthorized access to sensitive areas or your office security perimeter. It can be used to collect data for sales and marketing purposes, and/or to target ads to customers in real time. It can be used to track students and employees so they know where they are. It allows businesses to provide exceptional customer service by detecting customers at their entrance. It speeds up the process of checking in at airports, conferences, hotels, and airports. CompreFace was designed to be simple, effective, and versatile.

FaceFirst helps customers create safer communities and great customer experiences. FaceFirst is a platform that retailers, transportation agencies, law enforcement agencies, and other great organizations can use to prevent crime from happening and increase customer engagement and loyalty. FaceFirst is private, scalable, secure, and highly accurate. The platform allows for surveillance, customer engagement and access control. It also allows for desktop forensic face recognition capabilities. FaceFirst provides a robust API as well as an SDK that can be integrated into a variety systems and platforms. Scale without performance loss and share data across multiple locations. High performance even in challenging lighting conditions. Compatible with almost any camera provider or device that is camera-enabled. With robust API/SDKs, you can easily add face recognition to your existing applications.

This can be used to locate someone at your facility by their face, such as intruders or access control automation. It can also be used for marketing purposes. You can create a database of photos with faces and statuses such as "VIP" or "black list". You will receive notifications via phone, e mail, and the monitor about the detection of people from the control lists in relation to the flow of people. Search for fragments that contain a face in the video archives, or search for people using photos. Online information can be obtained about the gender and ages of visitors. Identify employees and offenders at your facility. Quickly find out about VIP clients (persons on the "white" or "black" lists) visiting your facilities. Based on the recorded event, take the necessary actions quickly. This will allow you to provide high-quality security services for your clients and employees, as well as increase the level of service for VIP clients.

Face Recognition, based on the 3rd generation Tencent YouTu Grandmother Model was optimized using various training methods, such as multi-task learning, transfer learning and metric learning. Its custom fine-tuning and distilling models can meet different performance and latency requirements. Tencent's large user base and complex use cases tested Face Recognition. It was found to be reliable and robust, with a 99.9% availability rate. Face Recognition has high concurrency, high throughput, low latency, and high concurrency. It can process millions of faces in a matter of milliseconds. This allows you to meet your real-time usage requirements. Face Recognition can be used in many different applications, including online photo albums, smart shopping, security surveillance and face recognition access control and attendance. It also has face effects and online proctoring.

Inspired by you, driven by excellence. Eyeris' technology was created out of the needs of the caring parent, the late-night worker, and the aspiring entrepreneur. Our innovative technology is designed to make driving safer and more enjoyable for all drivers. In-Cabin cameras are used most often for driver and occupant monitoring. These cameras are used to interpret the interior scene using Eyeris AI Software. This allows you to gather data from different sensor types and interpret the scene with redundant information for high data accuracy. Hardware innovation is improving in order to run complex AI software in the fastest and most efficient manner. Our vision-based neural network provides the most rich source of information. Our pre-trained vision AI models are able to understand the entire interior space using the most recent image sensors and a wide range of lighting conditions.

FaiSentry uses a cluster-based architecture which provides future-proofing, scalability and robustness. It also offers the option to host on-premise or in a cloud. FaiSentry goes beyond passwordless login to allow efficient and frictionless identification of multiple people from a single image. Results are returned in a fraction of seconds. Our facial biometric engine is enterprise-grade secure and easy to use. This creates the best client and business experience. Aculab's combination of AI-driven technology and face authentication products has created a solution that is indestructible to gender and race biases, which is a significant difference from other products on the market. FaiSentry can identify multiple individuals from one image, and a single camera can monitor key entry points and exit points.

Rank One Computing's 100% in-house automatic license plate recognition software offers unparalleled speed, accuracy and flexibility. Our cutting-edge ALPR can automatically read and recognise license plates from video or images captured by any device, even in challenging conditions such as low-light or high-motion images. With a system that can provide approximate matches even if the characters entered are incorrect or the system only captures a portion of them, you will get more comprehensive results. Automatically search for known vehicles by license plate in surveillance footage after an incident. Our license plate recognition technology has been trusted by technology leaders around the country, from law enforcement to commercial security to federal investigations.

Select the subset of data that has the greatest impact on the accuracy of your model. This allows you to improve your model by using the best data in retraining. Reduce data redundancy and bias and focus on edge cases to get the most from your data. Lightly's algorithms are capable of processing large amounts of data in less than 24 hour. Connect Lightly with your existing buckets to process new data automatically. Our API automates the entire data selection process. Use the latest active learning algorithms. Combining active- and selfsupervised learning algorithms lightly for data selection. Combining model predictions, embeddings and metadata will help you achieve your desired distribution of data. Improve your model's performance by understanding data distribution, bias and edge cases. Manage data curation and keep track of the new data for model training and labeling. Installation is easy via a Docker Image and cloud storage integration. No data leaves your infrastructure.

We empower security professionals with massive AI and organized communications to protect millions of citizens in cities. Kipod allows instant search across the Big Data from CCTV video and real-time detection of crime using the most advanced machine learning algorithms. Isolation tracking using facial recognition. Instant alarm for crowding in public spaces during coronavirus (COVID-19), and other dangerous infections Simply upload a photo to find a person of interest. Instant results will show where and when they were spotted. You can search for a person by their age, race, gender, or other characteristics. Instantly validate the results against all criminal records. The Kipod cloud architecture allows for secure, resilient and easy deployment across unlimited cameras to unlimited people. Shared resources can be managed by thousands of users across multiple organizations. You can access video data, search tools, databases of people or vehicles, and other information in a granular manner.

Allows for a live, unified view of multiple sites on any device. History can be retrieved up to 10x faster that traditional on-premises systems. The first cloud-native platform for video surveillance with AI and computer vision analytics. This platform provides better and more cost-effective enterprise protection. Security risks eliminated, no video or data are stored or accessed over the network. It is possible to significantly reduce IT server management costs and maintenance costs when compared to hybrid or on-premises systems. Site management is simplified and can be centralized. Scales to unlimited locations and cameras. Cloud video surveillance systems can be easily managed, used, and installed. Setup is easy thanks to the user-friendly interface. You don't need any technical skills. Advanced vehicle and person detection, counting, classifications, license plate recognition, wrong way detection, etc. Search by social distance violation to find out how many people are located in space and their distance.

Select categories of interest to optimize detection sensitivity. Combining our detection building blocks to create powerful conditions. Map them to your customized data labels for easy integration into your existing systems. Even if you have limited data, you can detect new custom attributes like SKU or item conditions. With our model's deep understanding, we can deliver incredible accuracy in real-world with just a few pictures. All changes are made on the server, which allows for instant deployment. Using smart or deep links within the app, you can add features and functionality on the fly.

SenseFoundry, a one-stop platform for Smart City management, caters to the needs of customers from the public sector. SenseFoundry Enterprise, our software platform, facilitates and accelerates the digital transformation of enterprise customers. It addresses complex industry vertical demands. We work with city officials to create future-oriented urban management systems. Our SenseFoundry software platform is integrated with the IT infrastructure of cities. It uses AI models to transform raw and real-time city data into insights, alerts, and actions. SenseFoundry monitors the condition of public facilities like fire hydrants and manhole covers, power poles, and road signs. It can also be used to track incidents such as traffic accidents and fire and smoke, emergency exit obstructions and exposed garbage. It also tracks the effects of natural disasters like flooding and typhoons.

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

Video Explorer Platform is a complete functionality platform for video analytics (computer visual) application development and deployment. It offers an application framework that can be customized to meet customer's business needs and integrate with their business systems. It could be used by an enterprise to quickly acquire a video analytics solution. The customer could also benefit from co-working with the IBM Visual Builder (IVB) to develop and deploy a one-station video analytics solution. This includes image labeling, image enhancement, training, validation, and publishing on the Video Explorer Platform. This platform provides a complete functionality platform for video analytics application deployment and development, including data source management (videos, images, offline videos materials), real-time browsing, image / slip extract, storage, model mapping, event processing rules configuration, etc.