"AI picking" for irregular items, food, bagged goods, and automotive metal parts, etc.
Detecting the grasping position of irregularly shaped and transparent objects, which has been difficult until now, and picking them up. Developing AI in a short period of time using simulators and deep learning.
Building an AI model applicable to robot picking tasks Creating AI functionality to detect graspable positions from bulk work images with simple operations Utilizing AI to determine the positions for grasping workpieces enables the picking of irregular and transparent objects. The AI learns to determine grasping positions by converting bulk work images automatically generated by a simulator into images that closely resemble real ones. This significantly enhances picking accuracy when deploying the actual machine. Additionally, since the AI generation process can be completed on the simulator, the development time for AI can be greatly reduced, allowing for the rapid implementation of AI picking. 【Features】 ■ Data Creation: Automatically generating training data based on a small amount of real data ■ AI Creation: Completing the "Picking AI Model" in as little as half a day ■ AI Execution: Easily building a picking system with dedicated software ★ We provide dedicated software for the robots and cameras necessary for bulk picking. Customers only need to develop the AI model. * The robots supported are from Yaskawa Electric Corporation. Sankei Co., Ltd. is a distributor (trading company) of AI Cube Co., Ltd.
basic information
For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
Work examples: Standard items such as metal parts, translucent bags, and irregular items like cables and fried chicken. For more details, please refer to the PDF document or feel free to contact us.
