Attendance Management system using face recognition.
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Updated
May 10, 2023 - HTML
Attendance Management system using face recognition.
基于深度学习的驾驶员分心驾驶行为(疲劳+危险行为)预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测
A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.
Automated face warping tool.
Real-time facial landmarks detection / 摄像头人脸检测并进行特征点标定
Dlib/dlib compiled from source for Python 3.9
SoftwarePilot is an open source software suite to support aerial systems. SoftwarePilot allows users to connect consumer DJI drones to programmable Java routines that include access to computer vision and deep learning software packages like OpenCV, DLIB, and Tensorflow.
Obtain the camera image with aforge.net and detect the face with dlibdotnet
Face detection and recognition using golang
The Pupil Detection AI ML program is used to get the co-ordinates of eyes and detect the pupil region. It only works with human face images.
HoloLens With DlibFaceLandmarkDetector Example (Support for Hololens1 and Hololens2)
SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.
영상처리AI를 활용한 외적 군기 디텍팅 솔루션
An IOT cum Android based project to ensure the safety of car drivers by detecting drowsiness, detecting accident notifying all the nearby hospitals and gps tracking where owners can track their car even after being stolen through their app.
Sift based face recognition
Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: Pe…
Build automation for the dlib project
A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.
A drowsiness monitoring system for drivers.
Simple web-service for swaping faces on photos with crowds of people, using opencv and dlib
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