The invention discloses road traffic flow detection equipment based on a ResNet-50 convolutional neural network. The road traffic flow detection equipment comprises the following steps: shooting a road on which traffic flow detection needs to be performed by using image acquisition equipment; video picture information shot by the image acquisition equipment is preprocessed; carrying out intelligent identification on the automobile in the shot video and photo through an artificial intelligence algorithm; and carrying out traffic flow statistics and analysis according to the detected number of vehicles. The road traffic flow detection equipment can monitor the traffic flow information of a specific road in a certain time period, so as to evaluate the road traffic flow and the congestion condition.
本发明公开了一种基于ResNet‑50卷积神经网络的道路车流量检测设备,包括以下步骤:使用图像采集设备对需要进行车流量检测的道路进行拍摄;将图像采集设备拍摄到的视频图片信息进行预处理;通过人工智能算法对拍摄到的视频及照片中的汽车进行智能识别;根据检测到的车辆数量进行车流量统计和分析。道路车流量检测设备可以做到对特定道路某一时间段的车流量信息进行监测,进而实现对道路交通流量和拥堵状况的评估。
Road traffic flow detection equipment based on ResNet-50 convolutional neural network
一种基于ResNet-50卷积神经网络的道路车流量检测设备
2025-01-21
Patent
Electronic Resource
Chinese
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