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Finnish robot picking waste: artificial intelligence sorting system achieves effective sorting rate of 98%
News category: Industry News Pageviews:944
It is reported that unlike the traditional sorting technology that relies on code to distinguish materials, the ZenRobotics robot system can be learned by “examples”, which use sensor scanning to identify the surface structure, shape and material composition of the object. The sample "teaches" the robot to identify new materials.
The CEO of ZenRobotics claims that this learning capability gives robots the flexibility to adapt to changing waste streams. Traditional sorting equipment is expensive but functionally fixed, and ZenRobotics' systems can be adapted to different materials.
Currently, ZenRobotics robots are mainly used for sorting buildings and industrial materials, but it can also be “trained” to sort out materials other than garbage, and its work content can be easily updated by software. The data shows that a robot can sort 4 kinds of garbage fragments of different nature with high precision, the effective sorting rate can reach 98%, the highest sorting speed is 3000 times/hour, and the working time is 24 hours/day.
The ZenRobotics robot uses sensor scanning to identify the surface structure, shape and material composition of the object. The ZLDS200 laser two-dimensional scanning sensor of Shenzhen Zhenshang Technology Co., Ltd. can also measure the contour of the object with high precision, two-dimensional displacement and three-dimensional size. The UK's two-dimensional scanning sensor ZLDS200HS (DHS) series is a small-range high-speed and high-precision two-dimensional sensor with a digital and integrated integrated structure. The laser two-dimensional sensor ZLDS200HS (DHS) series has high precision of 0.1% of Z-axis, high-response 1800 contour data per second, high IP67 protection level, and high-performance features such as synchronization, and in addition to the standard series, Can also be customized according to the special needs of users.
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