Abstract: A deep learning based computer vision system to detect and analyses automobile crash videos comprises a crash detection module and a crash analysis module. The crash detection module uses dashcam video and or telemetry to detect the same. The usage of computer vision algorithm alongside the IMU sensor data make the system robust. The system uses a deep learning model which looks for an anomalous pattern in the video and/or the IMU signal to detect a crash. The system comprises different machine learning and deep learning based computer vision algorithm to analyze the crash detected videos. The system automates the labor-intensive task of reviewing crash videos and generates a crash report comprising accident type, road surface, weather condition and accident scenario among other things. The accident detection and analysis modules can reside on the vehicle as well as on the cloud based on the compute capabilities of the edge device.