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Apera AI's 4D Vision Technology
4D Vision technology is AI taught to see the world like humans do. With simple 2D cameras, Apera creates 3D understanding that identifies objects and guides robots with speed, precision, and reliability. 4D Vision is the underlying technology of Apera AI’s Vue robotic vision software. Their world-class scientists and engineers are engaged in machine learning, artificial intelligence, and deep learning research.
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AI training process – Using CAD models or 3D scans, the part is trained into a digital twin environment using synthetic data. When training reaches reliability point of 99.99%, a complete vision program is provided to the customer, it is loaded on their computer running the Vue software and robot operation can start after a short 15-minute calibration process.
AI in manufacturing – images captured by 2D cameras are combined into a 3D understanding of the area and then run through Apera’s proprietary AI technology. Objects are identified as pickable, even with hundreds of possibilities, are prioritized. The “most pickable” part is chosen and full path planning instructions are provided through the robot’s controller. Thanks to the number of simulated cycles run during the training process, part identification and picking happens very quickly – in as little as 0.3 seconds (3 Hz).
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Synthetic data – Conventional machine learning algorithms are based on having reference images or CAD models as the foundation of identifying 3D positioning for objects. If parts are new and photos or CAD models don’t exist, the required details can be artificially generated using algorithms resulting in synthetic data. During the parts training process, Apera AI bypasses images and CAD models and instead relies on synthetic data, allowing them to improve the AI process and introduce variables such as texture, labels, lighting, or markings.