Python
Computer Vision and Deep Learning
2023
ID: 1CP0672
Identifying Driver Distraction through the Application of Convolutional Neural Networks in Python
Keywords:
Driver
Distraction
Detection,
CNN,
Deep
Learning,
Computer
Vision,
Image
Classification,
Road
Safety
Project Synopsis & Overview
This project develops a driver distraction detection system using Convolutional Neural Networks (CNN) and computer vision techniques. It processes driver images, resizes them to 64×64 pixels, normalizes image data, and classifies driving behaviors into ten predefined categories. The system identifies activities such as texting, drinking, and phone usage, supporting real-time driver monitoring and improved road safety through automated distraction recognition.
Complete Technical Specifications
| Project ID | 1CP0672 (DB ID: 672) |
| Project Title | Identifying Driver Distraction through the Application of Convolutional Neural Networks in Python |
| Domain Division | Python |
| Sub-Domain / Tech | Computer Vision and Deep Learning |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Oct 31, 2026 |
Project Price
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₹8000
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