Face Recognition Terminal with Digital Detection Module Uniarch UAC19
Face Recognition Access Control Terminal with Digital Detection Module
Supportnon-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
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 whitelist (1:N)
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 ofthe base library for a single person
Support video capture, support ONVIF protocol
Support face, card, and QR code authentication to control door open
Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)
Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
Uniview adalah Brand CCTV Terbesar di Dunia, Didirikan tahun 2001 oleh Uniview Digital Technology Co, LTD. Uniview memproduksi Type CCTV terbaik dari mulai Analog, HDTVI dan IP Camera. Distributor CCTV merupakan Mallnya untuk CCTV Uniview menjual Paket CCTV, Aksesoris CCTV, Switch CCTV dan Produk lain Terlengkap, Terpercaya, Bergaransi Resmi
Kenapa harus pasang CCTV?
Pelaku kriminal akan mengurungkan niat bila sasaran ada CCTV
Berguna mengawasi kegiatan usaha anda,dimanapun anda berada
Dengan cctv bisa meningkatkan produktivitas karyawan
CCTV berguna untuk menunjang penyelidikan tindak kriminal
Rekaman CCTV bisa dijadikan barang bukti tindak kriminal
Kenapa DIST CCTV?
Produk asli dengan harga terjamin langsung dari Brand
Ragam dan variasi produk yang lengkap dan berkualitas
Garansi resmi semua produk
Tim teknisi yang handal, professional dan berpengalaman
Pemasangan dan instalasi rapih dan kokoh
Berpengalaman menangani ratusan proyek pemerintah dan swasta nasional.
Berbadan hukum (PT) dan alamat kantor / toko jelas
Forterminal: 134.0mm×33.0mm×305.0mm For module: 87.0mm×45.0mm×27.0mm
Weight
Terminal:641g Module: 131g
Face Recognition Access Control Terminal with Digital Detection Module
Supportnon-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
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 whitelist (1:N)
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 ofthe base library for a single person
Support video capture, support ONVIF protocol
Support face, card, and QR code authentication to control door open
Built-in 4G EMMC front end storage, stable and reliable, up to 8,000 events capacity (with images)
Support tamper protection, support door open timeout and time exceed alarm function to keep door opening during fire alarm active
 Supports environmental temperature and humidity monitoring.
 Omnidirectional 4 microphones array algorithm, 5-meter far-field clear voice pickup
