
Fizyr’s vision AI is in a league of its own. While others spread themselves thin trying to be one-stop shops, we stay laser-focused on vision AI and team up with trusted partners for everything else. The result, our Fizyr OS™ achieves success rates of up to 99.99%.
Machine learning can enable up to 99% success across a variety of item types.
Responsive, real-time image processing, providing vision-based commands to robots in milliseconds. (*Vision cycle speed can vary by use case and environmental factors.)
Intelligent vision, multiple verticals, wide variety of use cases.
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Our system runs on powerful AI trained with a flexible cascade learning method.
Segments the scene, visually singulates items, assesses materials.
Utilizes live view of scene and machine learning data to identify best items to pick, how to grasp, and where to place.
Sends the robot control system exact grasp points, approach angles, force settings, and best gripper choice to execute pick.
This approach allows our vision AI to analyze data layer by layer, boosting accuracy and eliminating common errors by human labor or less precise vision systems.
Our AI processes images in milliseconds on production-ready industrial servers, so there’s limited or no latency. Each server is optimized to utilize powerful internal components. asdemands.
Edge data flows to the cloud for monitoring and improved machine learning, coordinated with edge computing resources for optimal performance and long-term improvements.
Fizyr OS, as the vision component of an intelligent automation solution, launches with a production-ready neural network, ready to adapt for changes in objects, environments and more.
Fizyr OS software runs on production-grade servers, powerful CPUs, NVIDIA GPUs, so your system is responsive, and the vision cycle and integration with robotic resources are fast and efficient.
Tight integration with Fizyr OS vision software is a key to success in highly complex automation projects. Our software is designed to be 'hardware agnostic', while prioritizing integration with the best of breed camera partners.
Designing automation integrations involves choosing the right robotic systems for the job. Solutions designed for eCommerce or warehouses can differ from those designed for food processing or manufacturing. Fizyr adapts, providing connectivity with a variety of arms and control systems from leading global robotics providers.
Choosing the right gripper (end effector) is a key to accuracy in pick and place automation projects. The vision system is often informing the robotic system the best object to pick in a group, how to approach the grasp, and in some cases informing optimized suction zone usage for grippers.