Computer Vision Services

  • Computer Vision for Cell Identification and Cell Counting

    Counting and identifying cells is a tedious and time-consuming process. In many cases, highly paid Ph.D. scientists perform these tasks in the fields of histology, immunology, oncology, and pharmaceutical research. Unfortunately, the painstaking process involves long hours of looking at samples under a microscope and manually counting each cell – even worse, traditional cell counting methods leave a lot to be desired in terms of accuracy.

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  • 2021 IDC Computer Vision Report Recognizes Chooch AI for pushing Computer Vision to the Next Level

    Chooch AI, the leading computer vision AI platform, has been cited for accelerating adoption of computer vision–powered solutions across industry verticals by leading research company IDC. Chooch AI models are ready to deploy now both in the cloud and on edge devices. Clients include Fortune 500 companies and the US Government. Partners include NVIDIA, Intel, Dell, Deloitte, Convergint and Vantiq. 

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  • Security AI: Computer Vision with Drones and Robotics

    Ready for Drone AI and Security AI? This webcast is presented by Security Systems News and Security Industry Association featuring Asylon, Ceva Logistics and Chooch AI. Joe Goodings, Director of Standards at Security Systems News moderated the panel. Jim McDonald, VP of Global Security, CEVA Logistics, Logan Selby, Vice President of Operations at Asylon, and Michael Leal, Vice President of Strategy and Growth at Chooch AI present. 

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  • What Is Defect Detection?

    Computer vision is a broad and well-established field that has developed many different subdomains and applications—so which of them is best for your organization? Defect detection is a task in computer vision with the goal of recognizing potential defects, errors, anomalies, and issues with products or machinery.

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  • What is computer vision?

    Computer vision is a subfield of computer science, artificial intelligence, and machine learning that provides computers with an “understanding” of digital images and videos. The ultimate goal of computer vision is to enable machines to “interpret” visual data in the same way that humans do—detecting objects, people, faces, events, actions, even time.

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  • AI Defect Detection: Misplaced Bottle Caps Case Study

    The importance of defect detection in manufacturing cannot be overstated. Unsealed bottle caps, hairline cracks in pipes, painting errors, or any kind of broken, defective, or mislabeled product often has a negative impact on a manufacturer’s reputation and sales. Defects can also trigger costs related to finding, recalling, destroying, and replacing damaged goods – not to mention the ever-present risk of product liability lawsuits.

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  • Computer Vision Engineer Skills and Jobs

    Computer vision engineers work in the domain of computer vision: the subfield of computer science and artificial intelligence that seeks to make computers “see” images and videos at a high level, in the same way that humans can. More specifically, those with computer vision engineering skills can uses the AI tools to make it their job to solve real-world problems.

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  • Computer Vision for Inspection and Monitoring of Industrial Infrastructure

    Large-scale industrial operations manage infrastructure networks spanning hundreds of miles. An energy company, for example, needs to maintain vast networks of electrical wires, distribution poles, transmission towers, electrical substations, and other critical assets. Because these assets are often located in remote and dangerous locations, inspecting them for maintenance issues demands high-risk expeditions, skilled labor, and an enormous amount of time and financial resources.

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  • What is edge AI?

    Edge AI is the intersection of edge computing and artificial intelligence: an AI paradigm that performs as much computation as possible on “edge” devices that are physically located close to the source of the data. This is in contrast to traditional approaches that first upload the data to remote servers running in the cloud, where the computation is then performed.
    What are the benefits of edge AI over “traditional” Internet of Things (IoT) and cloud computing methods? The advantages of edge AI include:

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  • Computer Vision and 5G Edge AI

    5G and edge computing are inextricably intertwined technologies: each one enables the other. Edge computing depends on fast speeds and low latency in order to transfer large quantities of data in near real time—exactly what 5G is good at providing. For its part, 5G needs applications such as edge computing in order to justify its rollout to wider coverage areas. 5G allows for more and more computing to be done at the edge where the users and devices are physically located, offering unprecedented connectivity and power. The rollout of new technology developments such as edge computing and the 5G wireless network standard has created waves of excitement and speculation across the entire industry.

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