Vaxtor Cloud PoC Test Using Python Script
Smart License Plate Recognition (LPR) – Edge-to-Cloud PoC using Vaxtor Cloud
This video demonstrates a proof-of-concept integration of Vaxtor Cloud LPR into a complete smart access control workflow.
For this controlled test environment, I simulated vehicles directly on my desk by displaying license plates on my mobile phone and moving it toward the camera to trigger detection. This approach allowed me to validate the full logic chain without requiring physical vehicles.
Instead of simple motion detection, I used an ultrasonic sensor to trigger the image capture. In a real-world deployment, this would be combined with a dedicated vehicle presence detector to avoid misreads caused by non-vehicle movement near the camera.
The workflow is as follows:
Ultrasonic sensor detects an approaching object
Node-RED captures and uploads the image
Vaxtor Cloud performs real-time plate recognition
A Python script parses the JSON response
MQTT triggers access control logic
An ESP32 manages gate control
Based on the recognition result, the system can automatically:
Grant access to whitelisted plates
Deny access to blacklisted plates
Allow manual approval for unknown vehicles
Dynamically update access lists for future automation
One of the most interesting aspects of this PoC is that it was built entirely using existing hardware and infrastructure I already had running. No additional software licenses or specialized hardware were required.
The architecture is lightweight, modular, and easily scalable to real-world environments such as gated communities, parking facilities, logistics yards, or industrial sites.
The next phase will integrate Telegram for remote monitoring, approval workflows, and live gate control.
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