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Repository Details
As automobile accidents rise, demand for high-performance collision detection systems rises. We offer a car crash detection system that employs dashboard camera video. Different data. The proposed vehicle collision detection system leverages an ensemble of information sources (e.g., dashboard cameras) to identify collisions.Multi-modal deep learning (i.e., both videos). These different viewpoints complement one other and improve detection since one view may contain knowledge the other doesn't. The proposed vehicle collision detection system will beat existing technologies, according to experiments. 80% of we trained and tested our model using the repository. Through testing and tuning, the model could identify accidents quickly and with 90% accuracy. The prediction method underperformed for numerous reasons. Dataset limitations. This method might have a substantial socioeconomic and environmental impact and foster innovation.
