Search results for object detection edge computing

43 search results found

Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

Fastmot ⭐ 786

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

Savant ⭐ 408

Python Computer Vision & Video Analytics Framework With Batteries Included

Edgeyolo ⭐ 350

an edge-real-time anchor-free object detector with decent performance

Deepstream Services Library ⭐ 234

A shared library of on-demand DeepStream Pipeline Services for Python and C/C++

Neuralet ⭐ 232

Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.

Microsoft Rocket Video Analytics Platform ⭐ 185

A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.

Deepstream Python ⭐ 116

NVIDIA Deepstream 6.1 Python boilerplate

Homesecurity ⭐ 96

Security camera with Raspberry pi and NVIDIA Jetson platforms

People Counter Python ⭐ 88

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

People Counter Cpp ⭐ 70

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Smart Retail Analytics ⭐ 68

Use computer vision inference in the Intel® Distribution of OpenVINO™ toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.

Concurrent Video Analytic Pipeline Optimization Sample L ⭐ 46

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Safety Gear Detector Python ⭐ 32

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Motor Defect Detector Python ⭐ 27

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Object Size Detector Python ⭐ 26

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

Store Traffic Monitor Python ⭐ 24

Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.

Parking Lot Counter Cpp ⭐ 21

Receive or post information on available parking spaces by tracking how many vehicles enter and exit a parking lot.

Shopper Gaze Monitor Python ⭐ 20

Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.

Industrial Anomaly Detection ⭐ 20

Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines using a Kernel-based Virtual Machine (KVM) host.

Restricted Zone Notifier Python ⭐ 19

Secure work areas and send alerts if someone enters the restricted space.

Store Aisle Monitor Python ⭐ 18

Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.

Object Flaw Detector Cpp ⭐ 18

Detect various irregularities of a product as it moves along a conveyor belt.

Object Flaw Detector Python ⭐ 17

Detect various irregularities of a product as it moves along a conveyor belt.

Intruder Detector Python ⭐ 16

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Intruder Detector Cpp ⭐ 15

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

Shopper Gaze Monitor Cpp ⭐ 12

Build a solution to analyze customer expressions and reactions to product advertising collateral that is positioned on retail shelves.

Store Aisle Monitor Cpp ⭐ 11

Use a visual heat or motion map to count the number of people that enter and exit a store, factory, or warehouse aisle.

Social Distance ⭐ 11

Build a solution that recognizes people within a specific area and measures the distance between them. Get an alert if the distance is less than a specified amount.

Safety Gear Detector Cpp ⭐ 10

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Store Traffic Monitor Cpp ⭐ 10

Monitor three different streams of video that count people inside and outside of a facility. This application also counts product inventory.

Shopper Mood Monitor Cpp ⭐ 10

Detect the mood of shoppers as they look at a retail or kiosk display.

Intelligent Kiosk Analytics Cpp ⭐ 10

Determine the demographics of an audience using the Intel® Distribution of OpenVINO™ toolkit, and then adjust the ads to match the audience.

Yolo2openvino ⭐ 9

YoloV3, YoloV4, YoloV3-tiny, and YoloV4-tiny conversion to Tensorflow and OpenVINO.

Automated Vending ⭐ 9

Deploy sensor fusion technology for an automated checkout that enables real-time insight about the products consumers are buying using the EdgeX Foundry* extensible framework.

Rtsf At Checkout Reference Design ⭐ 9

Detect loss at self-checkout by seamlessly connecting different sensor devices, including weight scale sensors, cameras, and RFIDs.

Motor Defect Detector Cpp ⭐ 8

Restricted Zone Notifier Cpp ⭐ 8

Secure work areas and send alerts if someone enters the restricted space.

Machine Operator Monitor Cpp ⭐ 8

Monitor a machine operator and detect the emotional state of an operator. Send an alert if the operator is distracted or angry.

Network Video Recorder ⭐ 8

Implement and use Intel® hardware platforms for video decoding, encoding, and optimization using various media stacks.

Brain Tumor Segmentations ⭐ 8

Segment brain tumors in raw MRI images by applying the U-Net architecture.

Dledge ⭐ 5

This project accelerates deep learning models on the edge with the support of running ensemble learning for performance improvement. The current version accelerates YOLO object detectors with Intel Neural Compute Stick 2 using parallel programming.

Line Monitoring ⭐ 5

Apply the pretrained models in the Intel® Distribution of OpenVINO™ toolkit to detect and count the number of people waiting in lines in real time.