Vaxtor Cloud PoC Test Using Python Script

Published: 23 February 2026
on channel: Michail Sopasis

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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