face recognition android studio github

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Manage parking facilities. Controlling gates with the help of an automated solution can facilitate monitoring vehicle entry/exit and payment operations. Also, some listed vehicles can be restricted from parking.
Access control. It will be easier to oversee entry places restricted for some categories of vehicles.

This sample demonstrates realtime face recognition on Android
Face Recognition Homepage relevant information in the the area of face recognition information pool for the face recognition community entry point for novices 
Automatic number-plate recognition (ANPR)
Automatic number-plate recognition (ANPR) is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data.
ANPR can be used to store the images captured by the cameras as well as the text from the license plate.

Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library
This sample demonstrates realtime face recognition on Android
Marvel Face Recognition With Android OpenCV. android java Android Studio65288,AS65289 2354820837 OpenCV 30340 face-detection6528820154330803578221035652892403731243 android opencv cmake  Contribute to PopTudor/face-detection-Android-Studio development by creating an account on GitHub. dlib-face-recognition-android. Recognize faces in android using dlib state-of-the art face recognition model based on deep learning. The model has an accuracy  Marvel is an open source android application that does face recogniti

For license plate recognition to work, your camera needs a few specific things:
  • The angle of the camera is extremely important, because a camera that's installed too high cannot see the license plate
  • The distance from the camera to the car must also be considered - while a camera may be able to zoom in quite a distance, you want to minimize the distance between camera and car
  • Lighting is also important - whether you install lights or use the camera's built-in IR, you will need additional lighting at night
  • The speed of oncoming traffic must be low enough that the camera has enough time to focus on the license plate
In addition, you'll need to pay attention to the quality of the image. To be used as legal evidence, your video may need to meet standards set by your local law enforcement; one requirement might be that the captured license plate image be at least 15 pixels tall, to ensure clarity.

Web Camera Pro application uses data vision theory to identify objects within video, search through catalogues of images, and extract information out of images.

Object detection deals with detecting instances of semantic objects of a certain class (such as a dog, a human, or a car.) in digital images and videos.

Web Camera Pro - video surveillance with artificial intelligence.