keras face recognition


How do you do face recognition with vggface2 in keras? How can you detect your face?
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 tutorial is divided into five parts they are: Face Recognition FaceNet Model How to Load a FaceNet Model in Keras How to Detect Faces 
Deep learning is widely used nowadays
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.

The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it
This tutorial is divided into five parts they are: Face Recognition FaceNet Model How to Load a FaceNet Model in Keras How to Detect Faces 
Face recognition in OpenCv Tensorflow-keras with Dlib face detector and Vgg face model. 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  By productivity I mean I rarely spend much time on a bug. This post shows how easy it is to port a model into Keras. I will use the VGG-Face model as an exemple.

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.