Why automate Traffic Management with AI and Computer Vision
I recently built a prototype to track vehicles at an intersection and the traffic flow using OpenCV and Deep Learning.
This project is very requested by governments and city mainly for 4 reasons:
1. Identify traffic violations
2. Identify vehicles speed
3. Estimate traffic density
4. Introduce Automation
➤ Courses:
Full Computer Vision course: https://pysource.com/object-detection-opencv-deep-learning-video-course/
Training Mask R-CNN PRO (Notebook + Mini-Course): https://pysource.com/mask-rcnn-training-pro/
Blueprint: https://pysource.com/blueprint
➤ Follow me on:
LinkedIn: https://www.linkedin.com/company/pysource
➤ For business inquiries:
https://pysource.com/contact
#computervision #traffic #AI
I recently built a prototype to track vehicles at an intersection and the traffic flow using OpenCV and Deep Learning.
This project is very requested by governments and city mainly for 4 reasons:
1. Identify traffic violations
2. Identify vehicles speed
3. Estimate traffic density
4. Introduce Automation
➤ Courses:
Full Computer Vision course: https://pysource.com/object-detection-opencv-deep-learning-video-course/
Training Mask R-CNN PRO (Notebook + Mini-Course): https://pysource.com/mask-rcnn-training-pro/
Blueprint: https://pysource.com/blueprint
➤ Follow me on:
LinkedIn: https://www.linkedin.com/company/pysource
➤ For business inquiries:
https://pysource.com/contact
#computervision #traffic #AI
