Traffic Speed sign detection

Client Overview

A Japanese Tier 1 automobile manufacturing company.

Business Challenge

Acclivis Contribution

  • CNN Layers library design and implementation
  • Dataset Collection and generation
  • Design and Implementation of CNN Net
  • Training and Testing of CNN model
  • CNN trained model generation

Product Features Developed/Supported by Acclivis

  • The application performs detection and classification of the traffic speed sign detection
    and classification. This application uses below processing modules to perform detection
    and classification:
  • Image Pre-processing module .
  • Deep Learning module
  • Classification module
  • Detection and extraction of the region of interest (i.e. Speed Sign Circle) is performed / implemented using image pre-processing modules, while Classification is performed using Deep learning module

Project Details

  • Language | C and C++
  • Initial development platform | NVIDIA TK1
  • DL Network | CNN VGG 16 NET
  • DL Network Layers | 16 Layer Network
  • Classifier | SoftMax Number of Classes | 10
  • Deep Learning Library | Caffe

Client Benefit

  • Acclivis successfully delivered deep learning based speed sign which could be integrated in client's existing framework.