AI Models

  • Computer Vision for Security: AI Models for Break-Ins

    If your organization is in search of better, more robust, and reliable security to keep your personnel and assets safe, Chooch AI computer vision is all the solution you need. Computer vision provides broad, full-time, always-on security AI wherever and whenever you need it, utilizing your existing cameras, and running on edge devices to minimize operating costs.

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  • Training Computer Vision with Data Augmentation

    Computer vision and artificial intelligence need a lot of data. The more volume and variety of data that you can show to your model during AI training, the more high-performance and robust the model will be when examining data in the real world that it hasn’t seen before. There’s just one issue: what if you only have a limited amount of data in the first place? That’s where data augmentation comes in.

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  • Training Computer Vision AI Models with Synthetic Data

    Powered by artificial intelligence and machine learning, computer vision can help digitally transform your business. Today, sophisticated computer vision AI models can learn to recognize a wide variety of faces, objects, concepts, and actions, just as well as—if not even better than—humans can. But…

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  • Computer Vision Defect Detection

    Imagine a manufacturing facility with a team of quality control inspectors that never get tired, never get distracted, and always perform their jobs with laser-point accuracy. Even better, these defect detection inspectors provide their services for a fraction of the usual cost.

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  • Executive Briefing: AI Impact on Industrial Workplace Safety

    The power of computer vision is poised to have a positive impact on the $3 trillion workers compensation space. AI models can help prevent 85% of injuries in the workplace – slip & fall, manual materials handling, tool accidents and struck-by’s. In this executive briefing, ADLINK, StrongArm Technologies and Chooch AI will discuss how the integration of their three technologies enables enterprises to detect the lack of safety gear and dangerous conditions and alert workers and management on a real time basis. Hear from leaders not only about the impact on costs and worker safety, but also the practical solution available now for the workplace.

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  • Technology Briefing: AI Models Ready for Edge AI

    This technology briefing covers the full lifecycle of dataset generation, AI model creation and deployment and inferencing on the edge. Emrah Gultekin, CEO of Chooch AI, presents case studies and a walkthrough of the AI platform.

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  • What is AI Data Collection? Why is it important in AI Training and AI Models?

    Data collection is the first step in the process of generating a dataset for use in machine learning and computer vision training. Performing good data collection is essential to success: the quality of an AI model can only be as good as the quality of the dataset it’s trained on.

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  • Building AI Models: Not All Are Created Equally

    What is an AI model exactly, and how do you train AI models? Why are all AI models not created equally? Better training, using the right mix of algorithms and frameworks, and even setting the right business requirements, that’s how we achieve the highest performance when developing and deploying an AI model for computer vision.

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  • AI Model Deployments For Edge AI with the Chooch AI Platform

    In this 15 minute presentation, Emrah Gultekin, CEO of Chooch AI, presents how the Chooch AI platform ingests visual data, trains the AI, and exports AI models to the edge. This allows scalable inferencing on the edge on any number of devices from any number of cameras. A transcript of the presentation is provided below the video.

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  • What is an AI model?

    An AI (artificial intelligence) model is a program that has been trained on a set of data (called the training set) to recognize certain types of patterns. AI models use various types of algorithms to reason over and learn from this data, with the overarching goal of solving business problems. There are many different fields that use AI models with different levels of complexity and purposes, including computer vision, robotics, and natural language processing.

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