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.
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.
File Type:
Processing Time:
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