face recognition using keras

AI-DRIVEN SECURITY


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.

Shaumik shows how to detect faces in images using the MTCNN model in Keras and use the VGGFace2 algorithm to extract facial features and 
Realtime Face Recognizer
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.

Real-time Face Recognition on Android using OpenCV and Face Embeddings from Clarifai's API srinathvrao/WhoIsInIt
Shaumik shows how to detect faces in images using the MTCNN model in Keras and use the VGGFace2 algorithm to extract facial features and 
Face recognition in OpenCv Tensorflow-keras with Dlib face face image in corresponding person folder walk through each folder and in  Deep face recognition with Keras Dlib and OpenCV. This repository hosts the companion notebook to the article Deep face recognition with Keras Dlib and  Below is a small video of the real-time face recognition using laptop's webcam that has been made using Keras-OpenFace model and some elementary  Once the model has been fully defined (architecture and weight value) we can use it t

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.