Start a career in AI-assisted driving with the traffic signs detection systems project. Apply deep neural nets and computer vision to detect, locate and provide drivers with early information on road signs to enable active safety on the road
Problem Scenario :
The safety of commuters and pedestrians often depends on the level of alertness of the driver and the related interpretation of road signs. Under impaired driving conditions, the risks associated with missing or misinterpreting road signs increase and can potentially impact safety adversely. Using computer vision and deep learning, we can implement a model to assist in the early detection and alerting of road signs
Aim :
This project aims to create mastery in candidates to utilize the power of deep learning, Convolutional Neural Networks (CNN ), and computer vision to build models that detect road signs with great skill. This is a basic component of self-driving cars
Participants in this project will work in core teams to collect data and learn to implement data augmentation to improve model performance
What you will learn :
Computer Vision Project Organization
Data Requirements Design and data collection
Image data pre-processing and data augmentation techniques
Convolutional Neural Networks Design and Implementation
Model inferencing architecture
Requirements:
This project features JIT-based training in Python and image pre-processing and as such, candidates are not required to possess any skills in Python