We are providing a system to integrate with the CCTV cameras of roads and provide a quick response to accident victim
Accident happens + facts x number of death due to road accident happens y% die due to late response by the tespective authority People fear+ many places like highway there are no people to make a complain neither police There are CCTV installed but very few people are assigned to very large recordings We are providing a system to integrate with the CCTV cameras of roads and provide a quick response to accident victim Computer Vision with deep learing is used on a dataset of about 1000 road accidents. We were suggested to include more features to it such as using the same for robbery detection,fire etc
- Tensor Flow
- Android 5.0 and higher Get the app here
- The data set is resized,added in to a vector,normalised between values of 0 and 1,convoluted pooled ,flattened ,to extract the important featured and reduce rhe vector size of the input.
- We have used a normal CNN and aiming to use better algorithm such as resNet to improve the accuracy
- The cleaned data is fed in to a neural network to classify if an accident has happened or not
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.