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Smart Manufacturing and Warehouse Software System
Enhance intelligent and unmanned transformation across industries
By accurately detecting and identifying forklifts, AGVs, motor vehicles and pedestrians in the detection area, the system obtains information on the position of the target and then broadcasts the effective road information to the FMS through transmission equipment. Then the FMS combines real-time roadside data with advanced traffic control algorithms to achieve advanced judgement and early warning of dangerous road conditions, which improves traffic efficiency and ensures the safe operation of unmanned forklifts.
The complementary function of LiDAR and camera effectively enhances the accuracy and reliability of data acquisition.
Applicable to all types of complex road sections, providing comprehensive, dead-end-free detection coverage.
After deep learning, the advanced neural network algorithm can accurately identify target attributes and output information such as type, orientation, distance, speed, movement direction and traffic flow of forklifts, AGVs, motor vehicles and pedestrians.
It can directly detect and output event information such as traffic congestion, road spillage, intrusion events, illegal parking, V2P, and more.
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