intel-iot-devkit / store-aisle-monitor-pythonLinks
Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.
☆18Updated 2 years ago
Alternatives and similar repositories for store-aisle-monitor-python
Users that are interested in store-aisle-monitor-python are comparing it to the libraries listed below
Sorting:
- Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic,…☆78Updated last year
- Monitor three different streams of video that count people inside and outside of a facility. This application also counts product invento…☆25Updated 2 years ago
- Image dataset from Instagram of people wearing medical masks, no mask, or a non-medical (DIY) mask☆55Updated 5 years ago
- A notebook that demonstrates how to use the NVIDIA Intelligent Video Analytics suite to detect objects in real-time. We use Transfer Lear…☆27Updated 5 years ago
- Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-cl…☆71Updated 2 years ago
- Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-cl…☆92Updated 2 years ago
- Observe workers as they pass in front of a camera to determine if they have adequate safety protection.☆58Updated 3 years ago
- Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.☆139Updated 6 years ago
- Assessing car damage with convolution neural networks for a personal auto claims expedition use case☆218Updated 3 years ago
- Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.☆34Updated 3 years ago
- Use deep learning to create a model and a REST endpoint to allow your app to detect, locate and count your product on store shelves☆97Updated 2 years ago
- ☆93Updated 2 years ago
- This Jupyter notebook explains how to run YOLO on Google Colab, for videos.☆84Updated 5 years ago
- A dataset of images for artificial intelligence models to recognize human actions.☆55Updated 6 years ago
- Recognition of product positions on shelf images using neural networks☆105Updated 7 years ago
- Analyze real-time CCTV images with Convolutional Neural Networks☆102Updated 3 years ago
- Live Face Identification with pre-trained VGGFace2 model☆72Updated 7 years ago
- Face recognition online service, allow user training it.☆55Updated 7 years ago
- Automated car damage detection using Instance Segmentation(Mask R-CNN)☆32Updated last year
- Train SSD on custom dataset.☆73Updated 5 years ago
- Python computer vision samples☆275Updated 2 years ago
- A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.☆42Updated 4 years ago
- Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.☆102Updated 6 years ago
- Low latency resilient people detection and counting for edge devices☆24Updated 5 years ago
- Secure work areas and send alerts if someone enters the restricted space.☆24Updated 2 years ago
- Project at #sg_wonder_vision study group of the Facebook Secure and Private AI Scholarship Challenge 2019☆62Updated 6 years ago
- This is a modified and simplified inference engine of davidsandberg's facenet☆40Updated 5 years ago
- CNN archictecture for face anti-spoofing☆13Updated 7 years ago
- Easy Real time gender age prediction from webcam video with Keras☆156Updated 3 years ago
- Google Cloud Machine Learning for backend YOLO v3 object detection inference with a browser based WebRTC connection☆26Updated 5 years ago