Water surface cleaning robot salvage system based on Aliyun and convolutional neural network algorithm

The invention discloses a water surface cleaning robot salvage system based on Aliyun and a convolutional neural network algorithm, the systemcomprises a ship body, a propeller is arranged on the rear side of the ship body, the propeller is driven by a propeller motor arranged at the bottom of the ship body to rotate, and a garbage transfer belt driven by a power system arranged on the ship body is arranged on the front side of the ship body. A garbage collecting bin is arranged in the middle of the ship body, a garbage conveying belt is obliquely arranged, the lower end of the garbage conveying belt is located below the water surface, and the upper end of the garbage conveying belt is arranged in the garbage collecting box. By arranging the blocking device and the air pumps arranged on the two sides of the ship body, efficient salvage can be conducted in a severe water area with many aquatic plants, the left and right collection expansion nets are matched, the garbage collection amount each time can be incre