IDC7707T Campus Specific Machine-Fornitore globale

3rd Floor, Building A, Aerospace Micro motor Factory, No. 25 Keji North 2nd Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen

The IDC7707T facial recognition palm temperature system adopts the design concept of binocular facial recognition and palm temperature measurement to solve the needs of campus non-contact temperature measurement and facial recognition attendance visitors during the epidemic. Summarize facial recognition data and temperature measurement data into a report to provide data monitoring reports for relevant departments，This product integrates on-site facial recognition, identity verification, blacklist warning and other functions into one.

Suitable for primary and secondary schools, including attendance management for teachers and students, visitor appointment management, and non-contact temperature measurement in schools.

•Dynamic binocular camera can effectively block fake face attacks in photos and videos;
•Automatic supplementary light recognition for people under nighttime infrared and no light conditions;
Supports IC cards, facial recognition, and person card integration; 1: 1 recognition, 1: N recognition, N: N recognition; Facial recognition attendance and visitor appointment management; • Built in4K video decoder engine, top-notch HDR image processing pipeline, and rich mainstream peripheral interfaces
•>Support local facial recognition database with tens of thousands of people, offline recognition, connection to cloud platforms, support for mini program management, visitor reservationVIP management, attendance management, etc;

Form and hardware parameters
Appearance size	Host tablet 240 * 128 * 22mm (length * width * height)
form	Wall mounted
display	7-inch screen
a main board	CPU frequency	Four core ARM Cortex-A55
	Memory	DDR standard 1G (expandable 2G)
	storage space	EMMC comes standard with 8GB
	NPU	ARM G31MP2 comes with 1.2 TOPS computing power
video camera	200W binocular wide dynamic camera (high-definition, infrared)
operating system	Android 9.0
audio frequency	built-in
Identification of identification documents	Support IC access cards
External interface	USB/Relay/IO Access Control Controller
Wired network interface	RJ45 Gigabit Ethernet
WI-FI	Supports 2.4G, 802.11 b/g/n
Bluetooth	support
fill-in light	IR fill light; White, green, and red indicator lights
Software functional parameters:
Facial recognition	Support single person and multi person recognition
1: N facial recognition	In multiplayer mode, 5 people can be recognized in 1 second, with a misidentification rate of 0.03%. The recognition accuracy is 99.7%
Facial database	Support local 30000 face database
Infrared palm temperature measurement	Measuring range	32℃~42℃
	Infrared temperature accuracy	±0.5℃
	Effective measurement of human environmental temperature	0℃~40℃
	Temperature measurement distance	3cm-5cm
Remote upgrade of equipment	support
General specifications:
Protection level	IP54
Power Supply	Output DC 12V 2A
working temperature	0℃~60℃
Working humidity	10%~90% non condensing
language	Simplified Chinese
Installation method	Wall mounted