Alternatives to alwaysAI

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.

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.

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.

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.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.

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.

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.

Your cameras can be used to analyze people, vehicles, crowds, and other objects in real-time. Your cameras can anonymously measure people, vehicles, and crowds in real-time. In one step, you can gather smart metrics from your IP/security camera. We handle the rest. Our technology is compatible with many types of cameras and operating system around the globe. Your AdDashboard is always with you, whether you are on the move, at work, or anywhere else. Share metrics that are important to you and your customers with AdDashboard. Our reputation as the industry's most trusted measurement firm has been earned by our strict privacy and reliability policies. We understand that you need to be able to access, use, and integrate real-time data intuitively. So we made it easy. Our computer vision infrastructure is able to meet all client needs and ensures the highest performance, regardless of how it is implemented.

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.

You can easily create a pipeline on our platform by layering prebuilt functionality that matches your desired behavior. If you need a custom model that doesn't fit into our prebuilts, you can either contact us to have it added for you or create your own using our custom model creation. The ezML libraries are available in a wide range of frameworks and languages. They support the most common cases, as well as realtime streaming using TCP, WebRTC, or RTMP. Deployments automatically scale to meet the demand of your product, ensuring uninterrupted operation no matter how large your user base becomes.

FaceReader is an automated system that provides accurate and reliable data on facial expressions. Clear insight into the effects of different stimuli on emotions. It is very easy to use, which saves valuable time and resources. Easy integration with eye tracking data, physiology data. Automated facial expression analysis software is increasingly popular among researchers to provide objective assessments of emotions. FaceReader software can be used quickly, easily, objectively, accurately, and is flexible. It instantly analyzes your data (live or video) and saves you valuable time. You can record audio and video to hear what people are saying, such as during human-computer interactions or while viewing stimuli. FaceReader is the most robust and reliable automated system for the recognition a variety of facial properties, including the six universal expressions or basic expressions.

Viso Suite is the only platform that can handle computer vision from all sides. It allows teams to quickly train, create, deploy, and manage computer vision applications without having to write code. Viso Suite enables you to create industry-leading computer vision systems and real-time deep learning systems using low-code and automated software infrastructure. Traditional development methods, fragmented tools and a lack of experience engineers are causing organizations to lose a lot of time, which can lead to inefficient, low-performing and costly computer vision systems. Viso Suite, an all-in-one enterprise visual platform, automates the entire lifecycle to build and deploy computer vision applications. High-quality training data can be collected using automated collection capabilities. All data collection can be controlled and secured. Continuous data collection is a key component of your AI models.

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.

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.

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.

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.

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.

With just 30 images, you can quickly create a machine-learning (ML) model that will spot anomalies in your live process line. Identify visual anomalies immediately to reduce defects and improve product quality. Visual inspection data can be used to detect potential problems and take corrective actions. This will prevent unplanned downtime and lower operational costs. You can spot damage to the product's surface, color, or shape during fabrication and assembly. Based on the presence, absence, or placement of objects (e.g. a missing capacitor on a printed circuit board), you can determine what is missing. Detect defects that have repeating patterns, such repeated scratches on the same spot on a silicon wafer. Amazon Lookout for Vision, an ML service that uses computer visualisation to spot defects in manufactured products on a large scale, is called Amazon Lookout for Vision. Computer vision is used to spot product defects and automate quality inspection.

Voxel51, the company behind FiftyOne is responsible for the open-source software that allows you to create better computer vision workflows through improving the quality of datasets and delivering insights into your models. Explore, search and slice your datasets. Find samples and labels quickly that match your criteria. FiftyOne offers tight integrations to public datasets such as COCO, Open Images and ActivityNet. You can also create your own datasets. Data quality is one of the most important factors that affect model performance. FiftyOne can help you identify, visualize and correct the failure modes of your model. Annotation errors lead to bad models. But finding mistakes manually is not scalable. FiftyOne automatically finds and corrects label mistakes, so you can curate better-quality datasets. Manual debugging and aggregate performance metrics don't scale. Use the FiftyOne Brain for edge cases, new samples to train on, and more.

Reliable and adaptable computer vision systems that can be used in any factory. Every step of manufacturing is integrated with AI and image capture. Overview's inspection systems use deep learning technology, which allows us find errors more consistently in a wider range of situations. Remote access and support for enhanced traceability. Our solutions provide a visual record that can be traced back to every unit. It is easy to identify the root cause for production problems or quality issues. Overview can help you eliminate waste from your manufacturing operations, whether you're digitizing your inspections or have an underperforming vision system. See how the Snap platform can improve your factory efficiency. Deep learning automated inspection solutions dramatically improve defect detection. Superior yields, improved traceability, easier setup, and outstanding support.

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.

SightBit provides an AI-powered solution for enhancing safety and security around open water by "reading" the water using off-the-shelf video cameras. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology detects, monitors, and provides alerts regarding events such as rip currents, inshore holes and vortexes while simultaneously providing management capabilities. The company’s solution can easily be deployed without the need for sensors, edge processors, or customization. SightBit’s system sends real-time information to monitors in various control rooms, sounding alarms when people are in danger, notifies personnel when a security breach is taking place, and alerts to pollution spills in the water as well as provides immediate prediction to the pollution spread.

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.

You can build and scale your computer vision model quickly and easily. NeuCore makes it easy to develop, train, and deploy your computer vision model in just minutes. You can scale it up to millions of times. One-stop platform that manages all aspects of the model lifecycle including training, development, deployment, maintenance, and maintenance. Advanced data encryption is used to protect your information throughout the entire process, from training to inference. Fully integrated vision AI models can be easily integrated into existing systems and workflows, or even onto edge devices. Seamless scaling allows for your evolving business needs and business requirements. Splits an image into sections that contain different objects. Machine-readable text extracted from images. This model can also be used to read handwriting. NeuCore makes it easy to build computer vision models. It's as simple as one-click and drag-and-drop. Advanced users can access code scripts and watch tutorial videos to customize the software.

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.

Unleash Live is an A.I. video analytics enterprise solution provider. We combine any camera's vision with computer vision to provide actionable data in real time. This will give your company immediate insight to reduce costs, increase productivity, improve accuracy, and improve safety. You can connect a wide variety of cameras. Any combination of IP/CCTV/drone, body cam, mobile, or robotic cameras can be connected. You can live stream from the field, share it with your team, and upload footage to your account. A. I Apps can be downloaded from the app store to detect, inspect, monitor and monitor objects and items. You can also create 2D orthomaps or 3D models. You can integrate results into your operational workflow with notifications, API integrations, and live dashboards. Collaboration is simplified and made easier by removing the complexity and time involved. Instantly connect any combination of cameras to share via a live stream with stakeholders or third parties. All you need is a browser.

Our Computer Vision API can be easily integrated into your app to add Machine Learning magic. Inferdo is proud of our ability not only to provide state-of the-art, pre-trained deep-learning models but also our ability serve them efficiently at scale. This means that we can pass on the savings to you! We'll take care of the rest by simply sending an image URL to our API. To flag inappropriate content in your images, you can use our Content Moderation API. This model can detect nudity in images and NSFW content, both drawn and real. Compare our API costs with our competitors. Our Image Labeling API allows you to add semantic labels to images. This model can classify thousands upon thousands of unique labels in a variety of categories. Our Face Detection API can be used to locate human faces within your images. You want more information? Use our Face Details API to find out more about faces, gender, age, or other facial features.

Flexible Vision is an AI machine-vision software and hardware solution that allows your team to quickly and efficiently solve difficult visual inspections. Your teams can collaborate and share vision inspection program across factories floors using the cloud portal. Collect 5-10 images of both good and bad parts. Optionally, our software can increase the sample size by augmentation. Your model will be created in a matter of seconds by clicking a button. In a matter of minutes, your model will be ready to go. Your AI model will automatically deploy, and is ready for validation. The model can be downloaded or synced to as many production lines as you need. Our industrial processors are fast at processing your images. Select the ai model you want and see the detections on screen. Our systems can be used in traditional factory automation or as manual inspection stations. Our systems can be used in both field-bus and IO mode.

The most advanced In-Cabin Sensing solution to understand what's happening inside a vehicle. It measures the state of the vehicle and the driver, as well as the occupants, in real-time. This helps to improve road safety and create more comfortable mobility experiences. We help businesses understand their customers and consumers' feelings when they can't, or won't, say so. Businesses can improve customer experience and market campaigns by measuring unfiltered, unbiased responses. Our partner iMotions' solution gives you a complete view of human behavior. This research platform seamlessly integrates emotion recognition technology with biometric sensors. Affectiva's focus is on the advancement of its technology in key verticals such as automotive, media, audience analytics, social robotics, and customer analytics. iMotions is a platform that integrates our technology for academic researchers.

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.

Segments.ai allows computer vision experts to quickly iterate between data labeling and model training, as well as failure case discovery.

NVISO is a global leader for human behaviour AI software, serving worldwide manufacturers of user-centric products. Globally tested and approved human behaviour AI technology for autonomous vehicles. Tesla EVs are safe with interior monitoring, remote monitoring for healthcare/robotics, and intelligent devices to smart homes. Financial advisors can provide best interest advice using scientifically validated tools that detect and manage client behaviours. Safety, security, comfort, and safety of connected and autonomous vehicles through advanced driver and occupant detection, authentication and monitoring. Intelligent patient monitoring empowers medical professionals to improve patient outcomes and efficiency in aged-care homes.

Our world-class computer vision capabilities bring augmented reality experiences to life. Real-time detection of human body in images and videos. Multi-person detection, half body detection, position framing, key point output and multi-person detection are all possible. It detects 18 key points on the body, including the head and shoulders, as well as the feet and other parts. Tracks movements like hand raising, bending, jumping, and many more. BytePlus Effects products, powered by industry-leading algorithms are extremely efficient in computing power consumption and provide unrivalled accuracy and performance. Our software is used by hundreds of millions of users, such as Ulike and TikTok, to deliver best-in-class performance. Our engineers are constantly updating algorithms while our service team provides reliable support.

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.

You can uncover valuable insights by accurately recognising objects in images or videos. AI can be used to drive value in many areas, including spotting products in the right spot in shopping aisles and surveilling people at events in real-time. You can perform in-depth analysis by placing image objects in the right segments. Insurers can use AI-based algorithms to analyze auto and home damage to make more accurate claims. Get instant insights and take action when it is most important. AI algorithms allow for real-time processing, which can be used for many valuable purposes, such as face recognition. You can identify customer behavior from video and see it in real time. AI can reveal how customers interact and engage with brands and products to provide better experiences. AI-based analytics can be applied to satellite images to detect traffic in real time, analyze parking lots, segment buildings, and more.

Our vision AI platform was built from the ground up to simplify your machine learning projects. It allows you to develop video analytics applications quickly and effectively. Plainsight is a platform that allows you to quickly create vision AI-powered solutions across all industries. It's easy to use and doesn't require any code. One interface allows you to connect, manage, and control sensors, cameras, and edge devices. To provide a high-quality foundation for models, collect accurate training datasets. Smart polygon selection, predictive labeling, and automated object recognition can accelerate labeling. A breakthrough process that reduces the time it takes to create AI solutions for vision is able to quickly train models. Rapidly deploy and scale applications on-premises, in the cloud, or at the edge to meet your business needs.

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.

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.

AWS Panorama devices integrate seamlessly with your local area network to add computer vision (CV), to your existing camera fleet. You can make local predictions with high accuracy and low latency using a single management interface. This allows you to analyze video feeds in milliseconds. You can process video feeds at the edge to control where your data is stored, and work with limited internet bandwidth. AWS Panorama is a collection machine learning (ML), devices, and a software development tool (SDK), that bring CV to on-premises IP cameras. Track throughput and optimize freight operations. Recognize parts and products. Text in labels or barcodes can be added. You can monitor traffic lanes and send alerts to staff in real time to keep traffic moving. You can quickly detect manufacturing anomalies and take corrective actions to decrease costs.

IMPACT Software Suite has over 120 inspection tools and 50 controls for user interfaces. This suite allows users to quickly create unique inspection programs and easy-to-use user interfaces. This is possible without sacrificing flexibility or requiring a lot of development time. IMPACT Software Suite offers a Software Development Kit, (SDK), that allows for full integration of machine vision monitoring capabilities in HMI software applications. Vision Program Manager (VPM), provides hundreds of image processing, analysis, and optimization functions. VPM can be used to enhance images, measure objects, detect presence or absence of features, read text and bar codes, and locate and measure them. Control Panel Manager (CPM), simplifies the development of operator interfaces and allows for quick adjustments to critical machine controls. CPM creates operator interface panels that allow you to view and adjust critical machine control. The IMPACT Software Development Kit, (SDK), includes the following:

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.

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.

Insights teams can use a tech-driven platform to gain consumer insights. You can map insights across media, digital, and shopper touchpoints to deliver emotional customer experiences, optimize customer journeys for increased conversions, and gain emotion, attention and engagement insights. UX teams can use the UX platform and usability testing platform to analyze their user experience. Measure attention, engagement, and emotion across user journeys. Test prototypes, mockups and chatbots. Identify key elements in the UI that customers notice. Deliver emotionally optimized UX to drive conversions. Emotion Insights helps you create the best customer experience. Facial Coding APIs for measuring emotional response at scale, single-face emotion recognition, in the wild multi-face emotion recognition, and recorded video emotion analysis. You can test stimuli in a variety of channels, including videos, print ads and planograms, website designs, packages, chatbots, and websites.

You can easily build, deploy, manage, and monitor computer vision applications using a fully managed, end to end application development environment. This reduces the time it takes to build computer vision apps from days to minutes, at a fraction of the cost of current offerings. You can quickly and easily ingest real-time video streams and images on a global scale. Drag-and-drop interface makes it easy to create computer vision applications. With built-in AI capabilities, you can store and search petabytes worth of data. Vertex AI Vision provides all the tools necessary to manage the lifecycle of computer vision applications. This includes ingestion, analysis and storage, as well as deployment. Connect application output to a data destination such as BigQuery for analytics or live streaming to drive business actions. You can import thousands of video streams from all over the world. Enjoy a monthly pricing structure that allows you to enjoy up-to one-tenth less than the previous offerings.

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

Advanced image processing solution and real-time computer vision that uses advanced models of convolutional neuro networks. The product's top applications include building management, identity verification, fraud detection, manufacturing, and quality control. Winjit is a leading technology provider in India with more than ten years of experience in developing engineering solutions across all industries.

EV Lib is an embedded vision software library that uses deep learning and AI. It includes functionalities for people and vehicles, object detection, identification tracking, 3D pose estimation, and vehicle and object tracking.

Do you want to create content that is emotionally engaging? Imentiv AI’s advanced Emotion AI is the tool you need. Our machine learning models analyze actors' emotions in your videos to provide deep insights into your content's emotional impact. Understanding the emotions expressed by your actors can help you predict how your audience will react to your content. Imentiv AI’s video emotion analysis tool allows you to create content that resonates with viewers and captures their hearts and minds. Our psychologists can help you analyze emotions accurately and identify biases and heuristics in your video. AI can be used to analyze ads, videos, or content in order to maximize audience engagement and ROI. Use AI to analyze emotional impact instead of expensive and lengthy audience surveys.

Built on the foundation of real AI, Quantarium's innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. Real estate insights that provide the most accurate information about property trends and values. Industry-leading, highly scalable, resilient and next-generation cloud infrastructure. Quantarium's adaptive AI computer-vision technology is trained from millions of real estate photos and then integrated into a variety of QVM-based solutions. Our managed data set, which is an asset in the Quantarium Data lake, is the most dynamic and comprehensive in the real estate industry. This data set is machine-generated and AI-enhanced. It was curated by AI scientists and data scientists, as well as software engineers and industry experts. It is the new standard for real estate information. Quantarium combines deep domain knowledge, self-learning technology, innovative computer vision, and a wealth of industry expertise.