High resolution recognition possible with hardware designed with a wide light-receiving area + reinforcement by a machine learning model!
The "Proximity Sensor" measures distance and tilt with high speed and high resolution. Even for objects that are difficult to recognize with image recognition or light sensors, it can be recognized with high resolution due to hardware designed with a wide light-receiving section and reinforcement from machine learning models. It measures distance and tilt with consistent accuracy, even for transparent or mirror-like objects. Additionally, it contributes to reducing the operational burden and costs for system integrators and field workers, enabling quick responses to a variety of work types by shortening setup times. 【Features】 ■ Overwhelming miniaturization allows for various designs ■ Low cost and suitable for mass production ■ Detects "surfaces" without a camera (reducing overall system costs) ■ Unique AI model enables high-speed and high-resolution processing *For more details, please refer to the PDF document or feel free to contact us. (Video provided by: Associate Professor Yoshisuke Koyama, Osaka University)
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basic information
【Specifications】 ■ Sensor dimensions: 55mm × 15mm × approximately 2.5mm ■ AI board dimensions: 55mm × 60mm × approximately 14mm ■ Distance measurement: 1.5 – 20.0mm (resolution 0.1mm) ■ Angle measurement: -20.0 – +20.0 degrees (resolution 0.5 degrees) ■ Power supply voltage: 5V ■ Communication method: RS-422 (500000bps) ■ Operating temperature: 25℃ ■ Sampling rate: approximately 5ms *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
Company information
At Thinker Inc., we are commercializing robot sensors that utilize proximity sensing technology. Our "Proximity Sensor TK-01" realizes "proximity sensing," which captures the presence of objects without relying on vision or touch, through a unique sensing technology that simultaneously measures the distance and posture of the target object. This has made it possible to capture the shapes of objects, including blind spots that have been challenges in robot manipulation, as well as to recognize mirror-like and transparent materials.
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