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AI-FaceDetect

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      AI-FACEDETECT

AI-FaceDetect is the video analysis plugin able to detect the faces of the persons inside the scene. The plugin can be used for both statistical (in order to know the number of persons inside an area) and security purposes (for instance for avoiding to activate a door opening in cases a person has a partially occluded face).

Dashboard

A.I. Tech’s products are completed with two dashboards: AI-DASH-EMBEDDED and AI-DASH-PRO.
AI-DASH-EMBEDDED saves data directly on the SD card of the camera (for plug-ins in the edge version) and allows a web-based display of data related to that specific device.
AI-DASH-PRO is the interactive dashboard that the user can access via the web or using an app on the phone, which allows you to generate a wide variety of charts, related to both the single device and the aggregation of devices, and to send such data in the form of customizable reports.

AI Dash Pro

AI Dash Embedded

TECHNOLOGIES
EVENTS NOTIFICATION OVER MULTIPLE CHANNELS
ADVANTAGES
MEDIA
TECHNOLOGIES
Edge
Embedded
Server
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EVENTS NOTIFICATION OVER MULTIPLE CHANNELS

The events generated by the video analysis plugins of A.I. Tech can be managed using multiple channels, which can also be activated simultaneously.

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ADVANTAGES

Accurate and reliable
Efficient
Notification of the events over multiple channels
Open and easy to be integrated
Simple to be configured

Installation constraints devices
Download
Installation constraints
devices
  • The camera has to be installed in front of the person, at a height of 1.8 m
  • The camera has to be installed in a place that attracts the glance of the person, in order to obtain a frontal view of the face
  • The camera has to be installed at a distance that allows to obtain, with the available lens and the resolution of the image, 2 pixels/cm. Considering that the human face is large about 16 cm, the face on the image has to be represented with an horizontal resolutions at least of 30 pixels.

 

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Flyer Banking Security EN 1.22 MB
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datasheet_faceDetect_EN 247.36 KB
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