google cloud face recognition

AI-DRIVEN SECURITY

How do I use Google face recognition? Is Google Vision API free?
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.

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Face Recognition Android App camera view instead of buggy OpenCV implementation Opened by Lauszus almost 2 years ago #23 Fixed support for Android 
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.

An android app for Face Recognition using OpenCV
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Google already uses AI in consumer products and services for third-party developers. Unlike other companies Google does not offer face  In this tutorial we will try to explore detecting number of faces in an image using Cloud Vision API part of Google Cloud Platform via Python.div class=q4vBJcdiv deIvCb span class=FCUp0c rQMQodПохожие зосыdiv class=Q0HXGdiv class=X7NTVea class=tHmfQe href=search_42EE9EE7div class=am3QBfdiv deIvCb google cloud vision/adiv class=HBTM6d XS7yGdsearch_E39F0916div mAdjQc uEec3 /adiv c

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.