Detection of Construction Machinery in Electric Power Channels Based on Audio-Video Fusion

With the advancement of urbanization. There is an increasing trend of construction machinery around the power channel, and it is necessary to drive relevant machinery out of the vicinity of the transmission channel to maintain safe and stable operation of the transmission channel. In response to the above requirements, this article proposes a construction machinery detection method based on the fusion of acoustic images and visible light images. This method first uses cross-correlation algorithm to construct acoustic images, and then fuses visible light and acoustic image features at the feature level; Finally, the fused features are input into the DETR head based on the separation of content and spatial information to achieve adaptive detection of construction machinery. The experimental results show that the proposed method effectively improves the detection accuracy of hidden targets, with an AP50 of 77.6%, which can meet the needs of mechanical detection in transmission channel construction.