The people counter application is a smart video IoT solution, using Intel® hardware and software tools. The app detects people in a designated area, providing the number of people in the frame, average duration of people in frame, and total count.
An intelligent guide robot providing additional information for visually impaired individuals 提供環境識別與避障導引之智慧導盲車
Control your computer’s Mouse Pointer according to your Eye Gaze. Intel OpenVino Toolkit using 4 ML models estimates your Eye Gaze.
Install OpenVINO Toolkit on Raspbian OS and run some demos.
computer pointer controller is A.I application to control the computer mouse pointer movement using eye's gaze, the project use Inference Engine API from Intel's OpenVINO ToolKit with python implementation.
The people counter application will count the number of people in the frame along with duration they spend using Intel OpenVino toolkit.
People Counter Application using OpenVINO Toolkit.
End-to-end OpenVINO pipeline on the Gradient MLOps platform
Computer Pointer Controller app controls the mouse of your computer using the Gaze Estimation model, estimates the gaze of the user's eyes, and changes the mouse pointer position accordingly.
It is Python3 app, made with the use of Intel OpenVino and Intel DevCloud. It aims at developing a system which alerts when the number of people in the given queue exceeds a designed value
Oki AE2100 OpenVINO sample codes
Counting people in a line using computer vision
Text , Human Pose , Vehicle detector using pre trained models of openvino toolkit
Repository for Intel Edge AI for IoT projects. Computer vision projects applicable to the service, manufacturing, and transport industry. Another project controls the computer mouse using eye gaze and head pose estimation.
For this project, you’ll first find a useful person detection model and convert it to an Intermediate Representation for use with the Model Optimizer. Utilizing the Inference Engine, you'll use the model to perform inference on an input video, and extract useful data concerning the count of people in frame and how long they stay in frame. You'll…
The repo contains materials for DL Workbench workshops
A Car Damage Assessment Web APP based on Artificial Intelligence. Tools used are Tensorflow, Django, Openvino, Vuejs, Axios, html2pdf.js
Given real-world scenarios to build a queuing system and the hardware specifications, the user can identify which hardware types work best. The application tested using the Intel® DevCloud.
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