face recognition ios github


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.

iOS Framework for Face Recognition based Access Control and Identity Verification hyperverge/face-recognition-iam-ios-sdk
Create your own presets or choose from a large selection of readymade palettes
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.

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iOS Framework for Face Recognition based Access Control and Identity Verification hyperverge/face-recognition-iam-ios-sdk
An ios app for face recognition and retrieve. An c++ implement of face detect recognition and retrieve based on mtcnn facenet and hnswlib. Another web serverĀ  Facial recognition chat app made with openCV for iphone and ipad. python chat swift Enhancing weak client-server user authentication with facial recognition. Previously in iOS 10 to detect faces in a picture you can use CIDetector (Apple) or Mobile Vision Try it out with real time face detection on your iPhone! Detects faces using the Vision-API and runs

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.