We provide a photorealistic auto-labeled data generation and robust grasp point detection technologies for universal picking application.
Applications & Benefits
To apply AI (Deep Neural Network) technology to industry, preparing high quality and high quantity of labeled data is the key. However, in the logistics and machining related industries, there many types of products, and their shape varies significantly. In this situation, collecting labeled data by manpower is time-consuming and human-intensive. Here we provide a feasible way to introduce AI into manufacture industry. We propose a photorealistic RGB-D auto-labeled data generation technology for AI to successfully learn importance capabilities, e.g., instance segmentation and grasp point detection.
The technology can be applied to logistics and machining related industries. With our auto-labeled data generation and robust grasp point detection technologies, related industries can save the cost in human picking and the effort of introducing AI in the production line.