Hello, sir.
I have many experiences in developing image processing engines by using Python, Qt and C++.
Project Names: face detection & tracking & recognition system, person gender and emotion recognition engine, China license plate recognition engine, lane detection engine, people counting engine, driver fatigue detection engine
Programming languages & frameworks: C++, Python, Java, Qt, OpenCV, yolo3, tensorflow, mtcnn, facenet, arcface,
Platforms: Windows and Ubuntu desktop, Embedded Linux (JetsonTX2, Raspberry Pi, Freescale, Hi3519, DSP), Android, iOS
I have many experiences on developing the customized face recognition system (on local and Cloud server) using the machine learning and deep learning methods such as Eigenface, Fisherface and LBPH as well as facenet, arcface and lightened CNN.
I implemented the famous facenet and arcface based customized DCNN architecture for large scale facial recognition and constructed local and cloud server system with SpringBoot/Flask/Diango.
I developed an app to detect, train and recognize the faces of multiple persons from live RTSP video stream.
Especially, I developed a people counting engine at bus and store.
This engine uses head detection & tracking and face recognition.
I also developed Rest API server for face matching in Indian ID card.
if u want to see my additional demo, I'll send its URL.
I hope my development experience would be helpful to you.
Thanks for your attention.