I need an application that can recognize the vehicle class in a toll lane and tell my software what kind of vehicle it is (car, bus, truck, LCV, etc.) along with a count of wheels on the vehicle. The system should also be able to recognize the registration details of the vehicle from its registration plate. Please see the specifications document in the attachment along with a short video showing another software's vehicle classification feature live in action.
The developer will be required to hand over the entire code and document everything, along with making user manuals for the installation of the software on the CV server, analytics VM and the toll lane computer. The developer will also be required to maintain the software (which will of course be paid for by the hour).
Desired vehicle classification system accuracy: 98% or above
Desired vehicle number plate recognition system accuracy: 100%
Data to train the deep learning model can be provided on demand. The developer will have to let me know what kind of data is needed (static pictures, video, etc.)
26 freelancers are bidding on average $50/hour for this job
Hi, there. I am a machine learning engineer with 5+ years of hands-on experience in computer vision. Carefully checked your requirements. Hope to work for you with this project. Best regards, Sgadou
Hi bro, I am Ahmed. I have a Master's degree in Computer Science from Europe. I can create your vehicle classification system. I am a Computer Vision expert. Please contact me to discuss more in detail.