基于自学习的校园停车区域规划系统

Design and Implementation of Campus Parking Area Planning System Based on Self-learning Algorithm

随着高校招生规模的扩大,进入校园的车辆不断增多,校园内原有的停车区域已经不能满足日益增长的泊车需求,再加上高校内原有的停车位规划不尽合理,这就迫切的要求对高校停车位规划进行改良。在高校内利用基于图像识别技术构建的停车区域规划系统不仅可以根据实际泊车情况动态的规划车位,还能在分时段运行不同标准的停车检测,对停放车辆进行智能化管理。

With the expansion of college enrollment scale,the number of vehicles entering the campus is increasing,the original parking area on campus can not meet the growing demand for parking,coupled with the original parking space planning in the uni⁃versity is not reasonable,which urgently requires the university parking space planning to improve.The parking area planning sys⁃tem in colleges and universities based on image recognition technology can not only plan parking spaces according to the actual parking situation,but also run different standard parking detection in time-sharing time,and intelligently manage parked vehicles.