Meter Reading

Fast-OCR is a new lightweight detection network that incorporates features from existing models focused on the speed/accuracy trade-off, such as YOLOv2, CR-NET, and Fast-YOLOv4.

The Fast-YOLOv4-SmallObj model is a modified version of Fast-YOLOv4 to improve the detection of small objects. Seven layers were added so that it predicts bounding boxes at 3 different scales instead of 2.

CDCC-NET is a multi-task network that analyzes the detected counter region and predicts 9 outputs: eight float numbers referring to the corner positions (x0/w, y0/h, ... , x3/w, y3/h) and an array containing two float numbers regarding the probability of the counter being legible/operational or illegible/faulty.