Low-illumination image enhancement system based on deep learning algorithm

• Main Authors: FAN ZHENTAO, LU JIYANG, HU NAIRUI, LI RUI, CHEN XIANG, LI YUFENG, ZHAO ZITIAN
• Format: Patent
• Language: Chinese; English
• Published: 05.09.2023
• Subjects: CONVEYING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; HANDLING THIN OR FILAMENTARY MATERIAL; PACKING; PERFORMING OPERATIONS; PICTORIAL COMMUNICATION, e.g. TELEVISION; PNEUMATIC TUBE CONVEYORS; SHOP CONVEYOR SYSTEMS; STORING; TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING; TRANSPORTING

A deep learning algorithm-based low-illumination image enhancement system disclosed by the present invention comprises a main machine body, a transmitter, a fixed part and a top plate, the transmitter is fixed at the front part of the top of the main machine body, a rotating shaft is movably arranged in the transmitter, and a transmission wheel is fixed on the rotating shaft; and one end of the rotating shaft extends into the conveyor and extends into the fifth belt wheel, a first rotating driving part is fixed to one side of the exterior of the conveyor, the output end of the first rotating driving part is connected with one end of the rotating shaft, and the fifth belt wheel is connected through a belt. When a product is detected, the first rotary driving piece enables the rotary shaft to rotate, the rotary shaft enables the conveying wheel to rotate, and the conveying wheel conveys the product into the device, so that the function of automatically conveying the object is realized, and the detection efficie