Image Recognition Technology - List of Manufacturers, Suppliers, Companies and Products

Image Recognition Technology Product List

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Image recognition technology "Furinkazan Pose"

Image recognition technology "Furinkazan Pose"

Instantly recognize the skeletal structure of a person captured in the camera image.

"Furinkazan Pose" is an unprecedented high-speed skeletal estimation technology in the world. It can estimate with reasonable accuracy at a speed of 60 FPS, even on an embedded computer like the Jetson Nano. By leveraging low costs, it can be installed in large quantities, and by utilizing high-speed operation, it can analyze intense movements. 【Features】 ■ Moves at the edge and visualizes human posture in real-time ■ Various applications such as sports analysis and fall detection *For more details, please download the PDF or contact us.

  • Other Software

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Automation of routine office desk work

Automation of routine office desk work

Automating routine office desk work that requires human effort.

Automate processes in administrative workflows where human intervention is involved, such as manually transferring result data from one worksheet to another. If the administrative tasks are already standardized and based on past experience, let the electronic clerk handle them. First, we will consider automating the business as it currently stands to achieve rationalization and gain benefits more easily and quickly. Our self-developed intelligent technology for robot control can also be useful in administrative processing IT (information technology).

  • Sales promotion and sales support software

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Device control development using AI that can be operated without touch.

Device control development using AI that can be operated without touch.

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.

  • Other measuring instruments

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