Pixuate AI Self-Learning Platform: Automatic Traffic Count & Classifier System (ATCC)
A Case Study on how Pixuate’s Automatic Number Plate Recognition (ANPR) and Automatic Vehicle Classification System (AVCS) helped a toll operator reduce loss & increase productivity
90% Protection from Revenue Loss
30% Increase in Labour Productivity
15X ROI Within a Year
Toll Plazas in India on an average spend INR 46 lakhs per annum and are still unable to overcome:
- Misclassification of vehicles.
Eg: Tractor with trolley 🡪 Truck, Bolero 🡪 Auto
- Return vehicle identification and matching.
- Legacy platforms unable to classify new vehicles launched.
- Set up a standardised audit mechanism
- > 15% instances of completely failing to identify elevated axles and tractors
- Visual records for post-event investigation
Download this case study on Pixuate platform can optimise the vehicular movement and traffic at Tolls, Cities or Private Spaces.