We have build a website for test purpose

Self-driving cars are the next step towards safe and convenient travel, but, as with all machine learning applications, require loads of training data. Multiple traffic light detection models were trained on the popular datasets BSTLD and DTLD using the Tensorflow Research repository. Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of building convolutional neural networks (CNN), which is a component of deep learning. This project presents a deep learning approach for robust detection of traffic light by comparing two object detection models and by evaluating the flexibility of the TensorFlow Object Detection Framework to solve the real-time problems.

In this project we can control our home appliances remotely from anywhere in the world as well as we can also monitor the temperature and humidity of our room by using our smartphone app and website. This system also provides LPG leakage and over temperature increase alert on mobile using email.