Alternatives to Cogniac

An enterprise AI platform that automates compliance, security, and other high-value business operations from a single platform. Intelligent Video by Kognition continuously monitors all your cameras and alerts you to the important things. Kognition's touchless, secure access to office buildings eliminates the need for you to touch common surfaces like badge readers and door handles. These are places where viruses can easily spread and thrive. Next-gen access control does not require a key. It's your face. It's your phone. It's the future. Secure, touchless access to office buildings eliminates the need for touching common surfaces like badge readers and door handles. These are places where viruses can easily spread and thrive. It is easier to use, more efficient, and cheaper than legacy systems. You can lock and unlock doors remotely from your mobile device, at any time. You don't need keys, cards badges, badges, or fobs.

We take the hard work out of AI processing on the edge. The Latent AI Efficient Inference Platform (LEIP) enables adaptive AI at edge by optimizing compute, energy, and memory without requiring modifications to existing AI/ML infrastructure or frameworks. LEIP is a fully-integrated modular workflow that can be used to build, quantify, and deploy edge AI neural network. Latent AI believes in a vibrant and sustainable future driven by the power of AI. Our mission is to enable the vast potential of AI that is efficient, practical and useful. We reduce the time to market with a Robust, Repeatable, and Reproducible workflow for edge AI. We help companies transform into an AI factory to make better products and services.

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.

Torch is a scientific computing platform that supports machine learning algorithms and has wide support for them. It is simple to use and efficient thanks to a fast scripting language, LuaJIT and an underlying C/CUDA implementation. Torch's goal is to allow you maximum flexibility and speed when building your scientific algorithms, while keeping it simple. Torch includes a large number of community-driven packages for machine learning, signal processing and parallel processing. It also builds on the Lua community. The core of Torch is the popular optimization and neural network libraries. These libraries are easy to use while allowing for maximum flexibility when implementing complex neural networks topologies. You can create arbitrary graphs of neuro networks and parallelize them over CPUs or GPUs in an efficient way.

Neurala has a mission to assist manufacturers in improving their vision inspection process. Automation is essential due to issues such as supply chain issues, labor shortages, recall risk, and other factors. Our Visual Inspection Automation software (VIA), detects anomalies and defects in products that are not typical. This software is more powerful than traditional machine vision. Our proven vision AI technology allows manufacturers to scale production, reduce waste, adapt to workforce changes, and achieve higher quality control. Neurala software is based on our patented Lifelong Deep Neural Network (LDN)™. It offers the first cost-effective vision AI tool that you can easily retrofit into your existing production line infrastructure without the need to hire AI experts or spend large capital. Neurala allows you to deploy your vision AI models in a way that suits your business needs, either to cloud or on-premise.

AForge.NET is an open-source C# framework for researchers and developers in the fields of Computer Vision, Artificial Intelligence - image processors, neural networks, genetic algorithms and fuzzy logic, as well as machine learning and robotics. The framework's development is ongoing, which means that new features and namespaces are being added constantly. You can track the source repository's log to keep track of its progress or visit the project discussion group to receive the most recent information. The framework comes with many examples of applications that demonstrate how to use it, as well as different libraries and their source.

YandexART, a diffusion neural net by Yandex, is designed for image and videos creation. This new neural model is a global leader in image generation quality among generative models. It is integrated into Yandex's services, such as Yandex Business or Shedevrum. It generates images and video using the cascade diffusion technique. This updated version of the neural network is already operational in the Shedevrum app, improving user experiences. YandexART, the engine behind Shedevrum, boasts a massive scale with 5 billion parameters. It was trained on a dataset of 330,000,000 images and their corresponding text descriptions. Shedevrum consistently produces high-quality content through the combination of a refined dataset with a proprietary text encoding algorithm and reinforcement learning.

Folio3 has a dedicated team of Data Scientists and Consultants who have completed end-to-end projects in machine learning, natural language processing and computer vision. Companies can now use highly customized solutions with advanced Machine Learning capabilities thanks to Artificial Intelligence and Machine Learning algorithms. Computer vision technology has revolutionized the way companies use visual content. It has also made it easier to analyze visual data and introduced new functions that are image-based. Folio3's predictive analytics solutions produce fast and effective results that allow you to identify anomalies and opportunities in your business processes.

GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.

FortressIQ is the industry's most advanced process-intelligence platform. It allows enterprises to decode work and transform experiences. FortressIQ combines innovative computer vision with artificial intelligence to provide unprecedented process insights. It is extremely fast and delivers detail and accuracy that are unattainable using traditional methods. The platform automatically acquires process data across multiple systems. This empowers enterprises to understand, monitor and improve their operations, employee and customer experience, and every business process. FortressIQ was established in 2017 and is supported by Lightspeed Venture Partners and Boldstart Ventures as well as Comcast Ventures and Eniac Ventures. Continuously and automatically identify inefficiencies and process variations to determine optimal process paths and reduce time to automate.

Provides powerful insights into human activity 3motionAI brings together the power of machine learning, computer vision, and artificial intelligence to allow organizations to assess, capture, and make recommendations based upon performance insights. Any video source can be used to record human activity, even mobile phones. Upload your videos immediately to the 3motionAI platform to perform activity-specific analysis. The artificial intelligence NeuroNet engine processes videos, flagging performance and risk limitations. Compare the data with pre-configured population norms, or customize API to your specific criteria. Get actionable insights. You can create custom recommendations, drills and safety measures. Video, PDF, and standard reports are all shared formats. AI-driven human dynamics can help you identify injury risk and improve human performance. AI-based analysis is simplified and cost-effective.

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.

Vyn SmartVideoNotes can help you increase operational efficiency, reduce risk, and lower costs. Video-enabled structured data capture in enterprise systems, to enhance or replace text/manual form fields in 60 seconds. Rich, timely, auto-labeled data that is rich in data can drive higher compliance and productivity. Leaders will be able to gain greater insight and take action faster. Open API SaaS platform with enterprise-grade security. It can be used for any workflow integration, e.g. CRM (Salesforce), FSM, and people systems. AI-powered Computer Vision & Natural Language Processing, video search, and analyses provide quantitative trends from qualitative data to help you make better, more informed business decisions. You can bring your processes to life with vyn. Quickly build intelligence from your field teams using vyn so you know what's happening and why. SmartVideoNotes are captured by vyn on the move. It asks the right questions to the right people at the right times and all this in less than a minute.

A powerful, flexible, intuitive framework for neural networks. Chainer supports CUDA computation. To leverage a GPU, it only takes a few lines. It can also be used on multiple GPUs without much effort. Chainer supports a variety of network architectures, including convnets, feed-forward nets, and recurrent nets. It also supports per batch architectures. Forward computation can include any control flow statement of Python without sacrificing the ability to backpropagate. It makes code easy to understand and debug. ChainerRLA is a library that implements several state-of-the art deep reinforcement algorithms. ChainerCVA is a collection that allows you to train and run neural network for computer vision tasks. Chainer supports CUDA computation. To leverage a GPU, it only takes a few lines. It can also be run on multiple GPUs without much effort.

The Microsoft Cognitive Toolkit is an open-source toolkit that allows commercial-grade distributed deep-learning. It describes neural networks using a directed graph, which is a series of computational steps. CNTK makes it easy to combine popular models such as feed-forward DNNs (CNNs), convolutional neural network (CNNs), and recurrent neural network (RNNs/LSTMs) with ease. CNTK implements stochastic grade descent (SGD, error-backpropagation) learning with automatic differentiation/parallelization across multiple GPUs or servers. CNTK can be used in your Python, C# or C++ programs or as a standalone machine learning tool via its own model description language (BrainScript). You can also use the CNTK model assessment functionality in your Java programs. CNTK is compatible with 64-bit Linux and 64-bit Windows operating system. You have two options to install CNTK: you can choose pre-compiled binary packages or you can compile the toolkit using the source available in GitHub.

Innotescus is an image and video annotation platform that enables collaboration and data handling. It streamlines Computer Vision development through intuitive collaboration features, smart annotation tools and seamless data handling. Its data visualization tools and cross functional collaboration features help to identify data bias early and improve data accuracy. This allows for faster and more cost-efficient deployments of high-performance Artificial Intelligence.

We conduct cutting-edge research in artificial intelligence and implement it to give financial investors an advantage. Transforming the financial market through groundbreaking neuro-prediction. Our algorithms combine graph-based learning and deep reinforcement learning algorithms to model and predict time series. Neuri aims to generate synthetic data that mimics the global financial markets and test it with complex simulations. Quantum optimization is the future of supercomputing. Our simulations will be able to exceed the limits of classical supercomputing. Financial markets are dynamic and change over time. We develop AI algorithms that learn and adapt continuously to discover the connections between different financial assets, classes, and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

Ambient.ai's computer vision intelligence transforms security tools, operations, and outcomes, allowing physical security teams to move from reactive to proactive operations. Computer vision is changing how humans and machines work together in the real world. Computer vision increases human productivity by automating repetitive tasks. We are a team consisting of computer vision and machine perception experts who apply cutting-edge research to the physical security needs of organizations. The trade-off between privacy and security is a false dichotomy. You can respect privacy while increasing group security. We don't and won't use facial recognition.

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.

Deci's deep learning platform powered by Neural architecture Search allows you to quickly build, optimize, deploy, and deploy accurate models. You can instantly achieve accuracy and runtime performance that is superior to SoTA models in any use case or inference hardware. Automated tools make it easier to reach production. No more endless iterations or dozens of libraries. Allow new use cases for resource-constrained devices and cut down on your cloud computing costs by up to 80% Deci's NAS-based AutoNAC engine automatically finds the most appropriate architectures for your application, hardware, and performance goals. Automately compile and quantify your models using the best of breed compilers. Also, quickly evaluate different production settings.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

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.

Neuton.AI, an automated solution, empowering users to build accurate predictive models and make smart predictions with: Zero code solution Zero need for technical skills Zero need for data science knowledge

Our platforms are a solid foundation for custom machine learning and artificial Intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Forecasts that are up-to-date will help you predict the future. Cloud-based tools that monitor and analyze cloud data will help you make better decisions for your company. Experienced data scientists and engineers face a challenge in transforming a machine learning application from research and ad hoc code to a robust, scalable platform. With a comprehensive suite of tools to manage and deploy your machine learning applications, Strong ML makes this easier.

TorchScript allows you to seamlessly switch between graph and eager modes. TorchServe accelerates the path to production. The torch-distributed backend allows for distributed training and performance optimization in production and research. PyTorch is supported by a rich ecosystem of libraries and tools that supports NLP, computer vision, and other areas. PyTorch is well-supported on major cloud platforms, allowing for frictionless development and easy scaling. Select your preferences, then run the install command. Stable is the most current supported and tested version of PyTorch. This version should be compatible with many users. Preview is available for those who want the latest, but not fully tested, and supported 1.10 builds that are generated every night. Please ensure you have met the prerequisites, such as numpy, depending on which package manager you use. Anaconda is our preferred package manager, as it installs all dependencies.

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.

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.

Your insight management platform for computer vision model performance. Pinpoint exactly where, how and why models fail. Bridge the gap between engineers and product managers with actionable insights. Manot offers a continuous and automated feedback loop to help product managers communicate effectively with engineering teams. Manot's user interface is simple enough for both technical and nontechnical teams to benefit. Manot was designed with product managers as the primary focus. Our platform provides images that show you where and why your model is likely to perform poorly.

IronYun Vaidio®, AI Vision Platform, delivers 30+ advanced AI video analysis functions to add an extra layer of superhuman intelligence to existing camera and videos infrastructure. Vaidio integrates with 28 leading video management systems and works with any IP camera. Vaidio AI accelerates the intelligence of real-time, video data, and forensic applications. These applications include intrusion, person and vehicle count, face and license plates recognition, vehicle make, model, loitering and crowding, PPE and weapon, smoke and fire recognition, and more. The Vaidio Platform won ISC West New Product Showcase Awards in the last three years for Commercial Monitoring and Loss Prevention.

Streamlining visual data analyses for easy, accessible AI powered insights, regardless industry or technical knowledge. EyePop allows you to create your own AI application. Take your project on a journey today by leveraging our advanced technology in computer vision. Discover the hidden potential of your images and videos. Our platform provides deep insights into your media to enhance user experiences and boost engagement. Our intuitive platform allows you to create a custom application, or "Pop", in a matter of minutes. Anyone can create Pops to work with existing images or videos, and even real-time streaming. Make the most of visual data by developing powerful, tailored computer-vision solutions. AI-driven insights will revolutionize computer vision interaction. EyePop.ai’s low/no code platform allows all skill levels to create custom computer vision applications.

Sybrin AI is an integrated technology stack that combines machine learning, computer vision, and data science to intelligently automate business processes. Comprehensive framework for extracting data from non-traditional data sources such as documents, images, video, and videos. Real-time ID capture and extraction from any ID document anywhere in the world. Sybrin intelligent document capture allows you to integrate image capture, clean-up, recognition, data extraction, and data extraction into any application. To prevent spoof attacks and verify that the remote contact is real, active or passive liveness detection uses image processing techniques and neural network to detect if the person behind it is real. Sybrin Identity Verification validates that the person is real by matching their identity documents against a live selfie or third-party database.

GPT-4 with Vision (GPT-4V), our latest capability, allows users to instruct GPT-4 on how to analyze images input by the user. Some researchers and developers of artificial intelligence consider the incorporation of additional modalities, such as image inputs, into large language models. Multimodal LLMs can be used to expand the impact of existing language-only systems by providing them with novel interfaces, capabilities and experiences. In this system card we analyze the GPT-4V safety properties. We have built on the safety work for GPT-4V and here we go deeper into the evaluations and preparations for image inputs.

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.

Eos is an embedded vision solution that increases vision system robustness in all circumstances by up to 3x. It can be customized quickly to any camera lens/sensor configuration, or multi-sensor fusion. Atlas is the industry's first set machine learning tools and workflows that automatically optimize camera architectures for optimal image quality and computer vision in just days. Eos has a highly optimized architecture at the end and an innovative AI deep learning framework. This uniquely addresses the challenges of perception under harsh conditions. This allows for model training to be done in a fraction of the time and costs. It also eliminates processor and sensor lock-in that is not possible with current deep learning methods. Perception software allows end-to-end learning for computer vision systems. Customers can easily adapt existing datasets to meet new system requirements. This allows for reuse and reduces effort and costs compared to existing training methods.

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.

ShipIn's FleetVisionTM gives you the visibility you need to all your critical operations. You can increase ship-shore collaboration, track incidents, their resolution in real time, and measure and improve your fleet's performance. ShipIn provides ship owners, seafarers, and operators with digital tools that make it easier to conduct safer and more productive voyages. It also enables unparalleled ship-shore cooperation, which is critical for delivering growth in today’s global market conditions. FleetVision™, helps you save time and maximize the value of your assets. You can identify and fix bottlenecks in loading or discharge activities, prevent damage to vessels, log events digitally and streamline demurrage claims. You can track KPIs anywhere you are with the cargo operations interface. You can monitor planned vs. actual port time, stevedores activity, and many other things.

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.

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 AI Vision solutions that combine Generative AI with computer vision 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.

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.

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

Synthetic data is the key to a leading-edge technology that allows for flawless retail execution. Vision technology for consumer packaged products. Choose from a catalog of over 100,000 SKUs on the Neurolabs platform, including top brands like P&G, Nestle Unilever, Coca-Cola and more. Our API will automatically stitch together multiple shelf images uploaded by your field agents from their mobile devices. SKU-level detection gives you detailed information that can be used to calculate retail execution KPIs, such as out-of shelf rate, shelf share percentage and competitor price comparison. Discover how our cutting edge image recognition technology can maximize store operations, improve customer experience, and boost profits. Implement a real deployment in less than a week. Access image recognition datasets covering over 100,000 SKUs.

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.

A unified platform can be deployed to enhance your organization's visual knowledge and automate tasks over time. TechSee's platform provides a single view of customer issues across an organization. This allows for warm transfer between channels and leverages visual data to enable AI-powered automation. The platform has been proven to work with large departments and tens to thousands of reps. It can also support technicians, agents, and end users in new locations without affecting availability or performance. The platform uses visual data to automate processes with Computer Vision AI. This includes real-time decision support for agents as well as self-service for customers. The organization has access to the full history of each customer's visual session. This allows them to understand the context of each contact. This information can be used to support internal collaboration and is compliant with privacy policies.

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.

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.

Graymatics is a cognitive multimedia analytics platform that can transform images and videos into meaningful, granular data. We offer CCTV-based video analytics solutions that allow our clients to draw critical insights from their existing infrastructure. Graymatics, a pioneer in cognitive media processing, was founded in Silicon Valley in 2011. Graymatics is a pioneering cloud platform that allows automatic analysis and recognition for products in surveillance, telecom, media processing, media, media, retail, and eCommerce. We are currently based in Singapore. We are one of few companies that offer such detailed analysis and offer clients a unique set products. Expert in video analytics across all industries, i.e. Schools, law enforcement and workplaces. Highly optimized models that require minimal RAM and GPU.

Numina measures all types of curb-level activity. Numina provides anonymous and aggregate data on the traffic behavior of pedestrians and other street objects. To understand street traffic safety and environmental conditions. To create a data utility that transforms streets into a developer platform. Numina was created to protect privacy as a fundamental principle. Our sensors use onboard computing for pre-processing and then erasing imagery. This results in anonymized and secure datasets. Numina is the only street-specific computer vision sensor that was designed to provide Intelligence and Surveillance. While everyone wants more livable areas, few people agree on how to achieve them. There are many ways to improve our communities. We are a data-driven company that helps cities find the right answers faster and more equitable.

Gravio allows you to connect and interact in new ways with your environment using the power of IoT and sensors, edge computing and computer vision. Gravio runs on Windows, macOS and Linux. You can connect to many inputs and outputs, including some bundled IoT sensors and computer vision/AI cameras as well as MQTT and HTTP APIs. Gravio requires no programming knowledge. Gravio unlocks connected technologies by connecting sensors and input devices, cameras and APIs to a space. This information is then continuously gathered and shared, allowing for new ways to interact, learn from, and enhance a physical environment. Gravio is a low-code/no code environment that allows entrepreneurs and organizations to create custom connected experiences in new and existing environments.

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.