The invention discloses an AI-based automobile aftermarket image target detection system and method, particularly relates to the technical field of automobile aftermarket services, and is used for solving the problem that a battery and a charging pile of a new energy automobile are not monitored in place when the existing new energy automobile is charged. Non-contact temperature measurement can be realized by using an image target detection technology, so that the problem possibly caused by sensor contact or interference is avoided, and the safety in the charging process is improved by judging whether the comprehensive health state of the battery pack meets the safety requirement of charging or not; the charging safety evaluation coefficient is calculated, so that problems can be found in time, risks can be early warned, and proper measures can be taken to guarantee the safety of the charging process; according to the method, the standardization and reliability of the aftermarket are improved, the trust and interest of consumers in the new energy automobile aftermarket are enhanced, the development of the automobile aftermarket is promoted, and more comprehensive and more reliable service and support are provided for new energy automobiles.
本发明公开了基于AI的汽车后市场图像目标检测系统及方法,具体涉及汽车后市场服务技术领域,用于解决现有的新能源汽车充电时对新能源汽车的电池和充电桩的监测不到位的问题;是通过使用图像目标检测技术可以实现非接触性的温度测量,从而避免了传感器接触或干扰可能引起的问题,通过判断电池组的综合健康状态是否满足充电的安全性要求,从而提升充电过程中的安全性;计算充电安全评估系数,这有助于及时发现问题、预警风险,并采取适当的措施保障充电过程的安全性;提高了后市场的规范性和可靠性,增强了消费者对新能源汽车后市场的信任和兴趣,有助于促进汽车后市场的发展,为新能源汽车提供更全面、更可靠的服务和支持。
AI-based automobile aftermarket image target detection system and method
基于AI的汽车后市场图像目标检测系统及方法
2023-10-03
Patent
Electronic Resource
Chinese
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