Vehicle Identification and Analysis with Computer Vision
Problem: Drive-thru sales account for about 75% of revenue in many quick-service restaurants (QSRs), creating a need to optimize and streamline the drive-thru process. Traditional methods struggle with accurately tracking vehicles and managing multiple lanes and checkpoints.
Solution: Advanced computer vision models, including object detection and tracking, enable precise identification of vehicles and their movement through the drive-thru line. This technology provides real-time data on vehicle flow at ordering, payment, and pick-up points.
Result: Enhanced efficiency in managing drive-thru operations, improved accuracy in vehicle tracking, and the ability to measure the effectiveness of multiple lanes and checkpoints, leading to faster service and increased customer satisfaction.
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