A client have a number of trucks coming in for registration. I am not sure Vision AI is the optimum for this application, since Vision AI is looking for anomalies. But anyhow, I wanted to hear you thoughts on the topic :-)
A client have a number of trucks coming in for registration. I am not sure Vision AI is the optimum for this application, since Vision AI is looking for anomalies. But anyhow, I wanted to hear you thoughts on the topic :-)
Hi Jakob,
I'll let the Vision AI experts aswer formally, but as you already noted, Vision AI primarily does classification and I'm not sure if it will do text recognition.
At least the scenario you describe sounds like it should lend itself well to a software-based approach and not require a specifialized hardware solution, given that truck reception typically involves the vehicle moving slowly or even coming to a full stop, and there can be good/consistent lighting, and perhaps no concerns for tailgating (i.e. not requiring steep camera angles).
Generally speaking, license plates can be challenging if considering use cases involving high/variable speed, difficult camera angles, variable lighting, variable colors of license plates (in some countries), etc.
Hi Jakob,
I'll let the Vision AI experts aswer formally, but as you already noted, Vision AI primarily does classification and I'm not sure if it will do text recognition.
At least the scenario you describe sounds like it should lend itself well to a software-based approach and not require a specifialized hardware solution, given that truck reception typically involves the vehicle moving slowly or even coming to a full stop, and there can be good/consistent lighting, and perhaps no concerns for tailgating (i.e. not requiring steep camera angles).
Generally speaking, license plates can be challenging if considering use cases involving high/variable speed, difficult camera angles, variable lighting, variable colors of license plates (in some countries), etc.