gurusinghpal

gurusinghpal's Stars

• astorfi/lip-reading-deeplearning

  :unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

  Language:Python1.8k321

• pixelsign/html5-device-mockups

  HTML5 mockups of popular devices, to showcase your portfolio and spice up your website.

  Language:CSS3.7k405

• haikentcode/digitalEye

  Automated Attendance Management System using Face Recognition

  Language:HTML139

• anujpanchal57/Attendance-Monitoring-System-using-Face-Recognition-Technique

  Developed a system to track down the attendance of students using the face recognition technique and also can monitor them

  Language:Java1610

• bhavesh0124/Smart-Attendance-System-using-Face-Recognition

  Attendance System using face recognition. Fully automated, UI operated. The model was trained using Keras Sequential layers and Softmax function at the output layer. The data is maintained in MongoDB and CSV at the backend. UI is created using Tkinter

  Language:Python159

• imbansalaniket/Facial-Recognition-Attandance-System-Using-Python

  This Project was made for the purpose of taking attendance by face recognition, I used several Python3 libraries to obtain a system to track attendance by face recognition.

  Language:Python189

• saket13/SAMS

  A 🖥 Desktop GUI for 🤖Face Recognition Based 🙋🏻‍♂️Attendance Management System

  Language:Python224

• sakshamhere/Automated-Attendance-System-By-Real-Time-Face-Reccognition

  An Automated Attendance system using Real-time face recognition, The GUI automates the manual process of attendance marking and maintaining statistics

  Language:Python9569

• gurusinghpal/RJPOLICE_HACK_1096_WhiteHatHackers_6

  Language:JavaScript2

• bluedalmatian/bigbrother

  Wrapper for FFMPEG to provide a Unix daemon style system for IP CCTV recording and re-streaming

  Language:Shell3

• Shivansh-Thakur/criminal-detection-and-recognition-on-cctv-data

  Searching for a criminal in surveillance systems is a time tedious process, to solve this problem, we developed a system, where the authorities have to upload the image of the criminal, which is then searched (face matching) in a large set of video recordings available to authorities.

  Language:Python93

• Darshan-Gaidhane/IMPLEMENTING-A-SYSTEM-TO-DETECT-DRIVER-DROWSINESS-USING-MACHINE-LEARNING

  Every year many people lose their lives due to fatal road accidents around the world and Drowsiness and Fatigue of drivers are amongst the significant causes of road accidents. Alcohol, Overwork, Stress, and even Medical conditions can cause drivers to fall sleep. It is very important to detect the drowsiness of the driver to save life and property. So to reduce the accidents and save the life of a driver we propose to develop a system called as Driver Drowsiness Detection (D3 ) system. This system can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy. Haar Cascade classifier, facial landmarks and computing Eye Aspect Ratio (EAR) to ensure proper detection of drowsiness in order to avoid accidents. For implementing this system we used libraries like Opencv and dlib.

  Language:Python81