ANPR system -- 3

Project Description: ANPR System for Traffic Monitoring in Mixed (Urban and Highway) Environments
1. Velocity Monitoring ( Speed Limit )
2. Object Detection ( helmet )
3.Number Plate Recognition
4.Needs to capture an image of vehicles with no number plates or unrecognised numbers in a separate folder
UI needs to be modern and searchable

Later the project will be expanded with more plugins

Our company is seeking a skilled freelancer to develop an Automatic Number Plate Recognition (ANPR) system specifically for traffic monitoring purposes. The ideal candidate should have experience in computer vision and image processing, with a focus on real-time processing capabilities.

Purpose:
- The ANPR system will be used primarily for traffic monitoring in mixed environments, including urban areas and highways.

Key Requirements:
- Real-time processing: The system should be able to provide instant results and analysis, allowing for immediate response and decision-making.
- Accuracy and efficiency: The ANPR system should accurately capture and recognize number plates in various lighting and weather conditions, with minimal false positives or negatives.
- Adaptability: The system should be adaptable to different camera angles and positions, as well as varying vehicle speeds and sizes.
- Data management: The ANPR system should have the capability to store and manage a large amount of data, including license plate images, timestamps, and vehicle information.

Skills and Experience:
- Strong background in computer vision and image processing, with a focus on ANPR technology.
- Proficiency in programming languages such as Python, C++, or Java.
- Experience in working with deep learning frameworks such as TensorFlow or Py