Image recognition using deep learning, operating a robot with hand gestures.
Three-dimensional objects are identified by artificial intelligence through deep learning. Edge computing is also possible. When a hand is captured by a camera, the AI determines its shape, and the robot moves according to the instructions. Our algorithm can recognize hand shapes in about 20ms, allowing for real-time and smooth operation of the robot. You can easily control the robot just by holding your hand in front of the camera. Additionally, it can be applied to various machine controls, such as when hands are dirty and cannot touch a panel, when wearing gloves that do not respond to touch screens, or when one does not want to hold a controller. Edge computing is also possible with devices like Raspberry Pi.
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basic information
You can build AI image recognition with a webcam and a laptop. In this example, it recognizes hands, but it can recognize various shapes. You can check the accuracy and quick response on YouTube.
Price range
P5
Delivery Time
P4
Applications/Examples of results
1. Industry and Construction Advanced image recognition using AI Operating machines with body movements without using controllers Using hand movements as commands 2. Food Controlling various machines without touching them 3. Medical Controlling various machines without touching them 4. Industry Controlling various machines without touching them
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Company information
We provide a one-stop solution to meet your company's needs from consulting to implementation. - Automation of routine desk tasks - Labor shortages - Quality control measures - Safety measures (avoiding hazardous and arduous tasks) With our "comprehensive technical capabilities," we offer a wide range of solutions in robotics, AI, and sensing, from clarifying issues to design and manufacturing. We have gained the trust of major companies through our extensive track record.
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