ANE2020

Image Type:	--
Weight:	0.661 lb (299.82g)
Operating Temperature:	0°C ~ 40°C
Termination Style:	Circular
Ingress Protection:	IP67 - Dust Tight, Waterproof
Mounting Type:	Chassis Mount
Features:	Guide Light (Red)
Voltage - Supply:	24VDC
Sensor Type:	CMOS
Series:	LightPix AE20
Scan Rate:	--
Light Source:	Integrated (White)
Resolution:	352 x 288 (100,000 Pixels)
Installation Distance:	5.0mm ~ 55.0mm
Visual Field (Min):	--
Visual Field (Max):	30.0mm x 25.0mm
Type:	Imaging Camera
Part Status:	Obsolete

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Introduction

ANE2020 (Advanced Networked Embedded System) is a smart environment technology developed by the Institute of Computing Technology, Chinese Academy of Sciences, and deployed in an intelligent connected space. It is mainly used for environmental sensing, energy and coverage optimization and intelligent detection applications. ANE2020 focuses on the application fields of machine vision, facial recognition and analytics. In order to better realize the vision capabilities, ANE2020 has adopted a camera and sensor network allowing for real-time visual and temperature data analysis.

Application Field

ANE2020’s primary application area is machine vision, which involves using cameras, sensors and software to collect visual information about a physical scene. The camera and sensor network of ANE2020 is able to capture detailed real-time images of objects, making it capable of quickly analyzing facial features, shapes and patterns for tasks such as facial recognition and object identification. In addition, the network can also capture temperature data to provide insight into the temperature of a room or other environment.Facial recognition is one of the more popular applications of ANE2020. By using the camera and sensor network, ANE2020 can accurately detect and identify people based on their facial features. This enables ANE2020 to be used for applications such as access control, visitor tracking, and customer identification.Aside from facial recognition, ANE2020 can also be used for object identification and tracking. This involves using the camera and sensor network to detect objects and accurately track their movements in order to gain insight into the environment. This information can then be used for applications such as traffic monitoring, inventory management, and safety monitoring.

Working Principle

The working principle of ANE2020 is based on the use of a network of cameras and sensors. The network uses advanced algorithms to detect and identify objects such as faces, shape, patterns and temperature. When the network detects an object, it can accurately identify it and then track its movements. The data collected by the camera and sensor network is processed using advanced algorithms and deep learning techniques. These techniques allow ANE2020 to quickly and accurately recognize objects and identify them based on their appearance and movements. Furthermore, the networks are also able to detect temperature changes in the environment, allowing for additional insight into the environment. This information can then be used for applications such as energy conservation and air quality monitoring.

Conclusion

In conclusion, ANE2020 is a powerful smart environment technology used for machine vision, facial recognition and analytics. It is based on a network of cameras and sensors which enable it to quickly and accurately detect objects, recognize people and track their movements. Furthermore, the camera and sensor network can also detect temperature, providing additional insight into the environment. ANE2020 is thus able to provide valuable data which can be used for a wide range of applications.

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