Cigarette defect detection system based on deep learning

The invention discloses a cigarette defect detection system based on deep learning. The system comprises a computer, a light source, an optical fiber sensor, a camera, an industrial personal computer and an alarm removing device; a control panel controls the light source to flash and sends a photographing signal to the camera after judging that a cigarette is in place, and the camera collects a cigarette image and transmits the image to the computer; the cigarette image is detected through deep learning detection software arranged in the computer, the image is converted into digital information in a matrix form, and the digital information is input into a deep learning network for detection and judgment; and a detection result comprises the number of cigarettes and whether the cigarette ends are empty or not, the detection result is transmitted to the industrial personal computer in a serial port mode, and the industrial personal computer drives the alarm removing device to execute corresponding cigarette rem