coreml face recognition


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.

Native face detection API Handle Core ML models for image processing (e
Facial Detection on Android Facial Recognition using Google AutoML using TensorFlow (off-device) Facial Recognition using TensorFlow Lite (on-device) 
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.

Face Recognition can be used as a test framework for several face recognition methods including the Neural Networks with TensorFlow and Caffe
Native face detection API Handle Core ML models for image processing (e
Learn how to build a face recognition app in iOS using CoreML a Python server and Turi Create in the second installment of this series.58562E0E Core ML Machine Learning Apple Developerdiv UPmit 8250 machine-learning 8250 core-ml/adiv class=x54gtfTake advantage of face detection tracking and capture quality as well as text recognition image saliency and classification and image similarity identification.6BD118AD Vision | Apple Developer Documentationdiv UPmit 8250 d

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.