Automatic number plate recognition with Python, Yolov8 Tesseract OCR | computer vision

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keywords:-
License plate detection,
YOLOv8,
Tesseract OCR,
computer vision,
object detection,
license plate recognition,
deep learning,
neural networks,
image processing,
machine learning,
Python programming,
tutorial,
OpenCV,
ANPR,
automatic number plate recognition
Automatic license plate recognition (ALPR)
YOLOv8
Object detection
Computer vision
Deep learning
Red license plates
Vehicle identification
Convolutional neural networks (CNN)
Raspberry Pi
OpenCV
Machine learning
Python programming
Edge computing
Real-time object detection
Traffic surveillance
Image processing
AI on the edge
Vehicle tracking
Video analytics
Smart city solutions
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Sir, this comment is irrelevant to the present video, I have seen your pervious video on custom object detection using tensor flow lite and raspberry pi, will that model detect an ambulance directly or show I add a custom data. And can I modify the code in such a way that, if the model detects an ambulance, the signal must turn green at the traffic junction, please answer my question sir🙌🏻

sandilya
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the images are storing in xml format will it cause any trouble and iam not able to get the best.pt file in training

ballasunnyyadav
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Sir, can we combine two wheelers also for this project ??

astraXkannadiga
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Sir, do a project on Triple Riding detection

pandugaakshitha
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Sir please give suggestions what can i do for gate open automatically after number plate is recognised

gauravpisal
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Coco1.txt file me kya hai sir empty dika raha hai

farhanpasha
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will this project detect heads with black hair cause we have dataset of images with brown hair and bald headed person?

oledgaming