pip install face_recognition

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.

Recognize and manipulate faces from Python or from the command line with After manually installing dlib try running pip3 install face_recognition again to 
This LAN scanner will find webcams located near you and let you view their feed with the tap of a button
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.

tinyCam Monitor is an Android app for remote surveillance/control for your private or public network/IP cameras video encoders DVRs and webcams
Recognize and manipulate faces from Python or from the command line with After manually installing dlib try running pip3 install face_recognition again to 
Before proceeding with the usage and installation of the face recognition library in Python you will need the distributable of dlib installed on  1 install python 3.7 2 install VS community and choose Visual C++ tools for CMake 3 Installation Options

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.