This study designs and implements a real-time intelligent parking space information query system based on deep learning object detection algorithm. The model is trained by adopting the YOLO object detection algorithm combined with a large number of vehicle and license plate images. Use the model to process the parking lot surveillance video. According to the results of the model processing and the related design of algorithm, judge the free parking space, calculate the parking time of the occupied parking space and recognize the license plate. The parking information will be received by the WeChat terminal in a schematic way, so that the drivers can obtain the parking information in real time. The system can accurately judge the parking information and provide reference for the management of urban commercial parking lot.