[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

This project demonstrates the use of TensorFlow Object Detection API to automatically number plates (Indian) from vehicles

An object Detection App using Flutter. I have integrated .tflite files with flutter. I have used the yolo and ssdmobilenet model to use this in the app.

This ML project helps ensures 6 feet distance between pedestrians.

ObjDetect is a Python based object detection script that leverages OpenCV’s DNN module with the SSD MobileNet model pretrained on the COCO dataset.

Object Detection using pretrained model