In crowded places, it can be difficult for systems to obtain an accurate count of the number of people by detecting faces, as faces may overlap or manual may counting may misscount the total number. Quantian Face counting technology uses AI to detect and count the number of faces in a frame, making it possible to provide a precise count of the number of people in a crowd.
Method use for face counting is the fast, efficient way using the built-in properties OpenCV provides us to access the video file meta information and return the total number of frames.Quantian developed a lightweight deep learning model that enables processing to be performed by the CPU alone, without relying on the GPU. This contributes to lower operational costs and power consumption, which is one of the greatest advantages of the technology.
Face Counting Algorithm
Face Counting Algorithm works on google tessertact algorithm.
**Follow the steps for live experience
- Keep any object infront of webcam
- Wait till object get stable
- Live feed detect object and show its name
- Try other object
(**To be launch soon)
Computer Vision Development Tools
Our team builds advanced computer vision solutions. When developing Vechicle Counting apps, we use cutting-edge technologies to deliver solutions that will address your business challenges.