kinect 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.

In this paper we propose a robust face recognition algorithm for low resolution RGB-D Kinect data
Meet different Image Transforms in OpenCV like Fourier Transform Cosine Transform etc
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.

Template Matching is a method for searching and finding the location of a template image in a larger image
In this paper we propose a robust face recognition algorithm for low resolution RGB-D Kinect data
Kinect Facial recognition. 714 views. 6. 1. Share. Save. Report. Ashish Anand. 3 subscribers We utilize the facial data from RGB stream for the recognition. The depth data is used to enhance the face segmentation through the nose-tip detection. First of all   Lukas Cader. We will segment face from color camera with use of depth data and run recognition on it using OpenCV functions

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.