Case Study: Vehicle Identification

We trained a neural network to fingerprint and recognize vehicles. Information such as make, model, year, color, and license plate (KSA, UAE, Bahrain, Qatar, Oman, Kuwait) are automatically assessed.

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Evaluating your Images

You can find below a list of your uploaded pictures, along with a transcription of detected vehicle data. Information from multiple channels including - but not limited to - make, model, year, color, and license plate, can be assembled and stored in order to produce a unique vehicle multilevel fingerprint, with high levels of tampering proof accuracy.

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Vehicle Plate: Not Detected

Plate Region: Not Detected

Confidence: Not Detected

Vehicle Make: Not Detected

Body Type: Not Detected

Model: Not Detected

Year: Not Detected

Color: Not Detected

Orientation (0 to 360 degrees): Not Detected