Why automate Traffic Management with AI and Computer Vision
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- Опубликовано: 12 сен 2024
- 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
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#computervision #traffic #AI
Hi, it's a great implementation. If possible can I get the raw data which you have used or link for it? Would be really helpful.😃
Yes, i LIKE YOUR ALL VIDEOS, YOU HELPED ME ALOT...
THANKS
It's really amazing, Are you gonna implement the full project here! like others?
A full lesson and source code for this specific project were added to the Object Detection with Opencv and Deep Learning course pysource.com/object-detection-opencv-deep-learning-video-course/
Fantastic machine go on
I'm doing research project about Intelligent Traffic Signal Optimization. can you help me?
very interesting
Can you share the code about this project?
Hi, this code is only available on sale inside the videocourse Object Detection (with Opencv and Deep Learning) at pysource.com. It uses object detection and tracking algorithms explained in the course and there is a full lesson also about this specific project + source code.
This is the opposite of what they say! Used to cause traffic and raise emissions. And annoy drivers
Hi Sergio , How we contact u by whatsapp or othere app ? Not by yr website . If u have a enough time for a make a good business contact us ASAP.
hi, if you want to contact us for business enquiries here is the page: pysource.com/contact/