OEP-BTS1-BD-NB

Ingresa para ver precio !

Industrial grade, high stability, high-end luxury appearance

* Deep learning algorithm model based on UNV independent intellectual property rights, face recognition accuracy rate 99, false rate 1

* Built-in deep learning dedicated chip, supports local offline recognition, 10,000 face capacity, face white list (1N)

* Fastest recognition time 0.2 seconds, various model merge mode are used to reduce false rate and increase pass rate

* WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes

* Support anti-spoofing detection based on deep learning algorithm, effective against fraud such as photo and video

* Support face metering and human metering for fast adapting to ambient light

* Suggested height for face recognition: between 0.8m and 2.2m,face recognition distance: 0.2m to 2.9m

* Support screen sleep mode, keep the minimum brightness to prevent glare at night

* Support add up to 6 photos of the base library for a single person

* Support video capture, support ONVIF protocol

* Support face, card authentication to control door open

* Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)

* Support direct control door lock, exit button, door contact detection to implement access control management

* Support tamper protection, support door opening timeout, support time exceeding alarm, support keeping door opening while fire alarm active

SKU: OEP-BTS1-BD-NB Categorías: ,

Descripción

OEP-BTS1-BD-NB modulo de sensor de temperatura para el OET-213H

Support non-contact detection of wrist temperature, support warning people with abnormal body temperature

* Support the detection of wrist distance, improve the accuracy of temperature measurement

* Support body temperature detection and personnel information binding, which can quickly confirm personnel information and do body temperature detection

* Support configure temperature detection threshold value, and personnel access authority can be configured through temperature detection threshold value

* Non-contact wrist temperature detection module, measurement range is between 30℃ to 45℃, measurement accuracy can reach 0.1℃, measurement deviation is less than or equal to 0.3℃, and measurement distance is between 1cm to 4cm

Carrito de la compra

0
image/svg+xml

No products in the cart.

Seguir comprando