Pendeteksi Suhu Tubuh Uniview OET-213H-BTS1 Access Control Thermal
Spesifikasi Pendeteksi Suhu Tubuh Uniview OET-213H-BTS1 Access Control Thermal (Face Recognition Access Control Terminal with Digital Detection Module) :
- Support non-contact detection of wrist temperature, support warning people with abnormal body temperature
- 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 1 cm to 3 cm
- 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, 2 MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
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Deskripsi
Spesifikasi Pendeteksi Suhu Tubuh Uniview OET-213H-BTS1 Access Control Thermal (Face Recognition Access Control Terminal with Digital Detection Module) :
- Support non-contact detection of wrist temperature, support warning people with abnormal body temperature
- 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 1 cm to 3 cm
- 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, 2 MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for capturing high quality image with various complex lighting scenes
Sekilas Mengenai Brand Uniview
Uniview adalah pelopor dan pemimpin pengawasan video IP. Pertama kali memperkenalkan pengawasan video IP ke China, Uniview sekarang adalah pemain ketiga terbesar dalam pengawasan video di China. Pada tahun 2018, Uniview memiliki pangsa pasar global terbesar ke-4.
Uniview memiliki lini produk pengawasan video IP lengkap termasuk kamera IP, NVR, Encoder, Decoder, Penyimpanan, Perangkat Lunak dan aplikasi Klien, yang mencakup beragam pasar vertikal termasuk ritel, bangunan, industri, pendidikan, komersial, pengawasan kota, dll.
Tujuan Uniview adalah untuk menjadi pemimpin global dalam industri pengawasan video yang berupaya membangun dunia yang lebih aman dengan menyediakan produk dan layanan yang profesional, andal, dan mutakhir.
Uniview memulai pengawasan video pada awal 2005, dan didirikan secara independen pada 2011. Alih-alih memilih cara yang mudah, Uniview memulai dengan pengawasan video IP, yang merupakan produsen pertama di China. Memiliki tim R&D yang inovatif dan kemampuan kontrol kualitas terkemuka di industri, Uniview mulai masuk ke pasar luar negeri pada tahun 2014.
Pendeteksi Suhu Tubuh Uniview OET-213H-BTS1 Access Control Thermal (Face Recognition Access Control Terminal with Digital Detection Module)
Akses kontrol Uniview OET-213H-BTS1 adalah sejenis perangkat akses kontrol dengan tingkat pengenalan yang tepat, kapasitas penyimpanan yang besar dan pengenalan cepat. yang terintegrasikan dengan teknologi pengenalan wajah Uniview dan teknologi pendeteksi suhu non-kontak. Modul deteksi digital mendukung deteksi suhu tubuh yang cepat. Dengan demikian, produk dapat mencapai pengenalan wajah dan deteksi suhu pada saat yang sama, dan mendukung peringatan orang dengan suhu tubuh yang tidak normal. Ini dapat diterapkan secara luas di tempat-tempat ramai, seperti komunitas pintar, sekolah, gedung perkantoran, rumah sakit dan area penting lainnya.
Untuk pemesanan & pengadaan Access Control Uniview OET-213H-BTS1 Anda dapat menghubungi kami di 021-2256 6665 atau WA 0895 1888 1777 / WA 0896 1888 1777
Informasi Tambahan
Operating System | Embedded LINUX |
---|---|
Face recog acc rate | >99% |
Face Recognition Time | 200ms |
Face Capacity | 10000 |
ID Card Capacity | 100000 |
Storage Capacity | 4GB |
Event Capacity | 8000 (with image) |
Measurement Range | 30℃ – 45℃ |
Measurement Accuracy | 0.1℃ |
Measurement Deviation | ≤0.3℃ |
Authentication Mode | Card:(1:N), Face +Body temperature, Face Whitelist∶ (1∶ N), Mask Detection |
Door Opening Method | Card, Face, Password, QR Code |
Communication | 10/100Mbps adaptive network port |
Card Type | Mifare 1 Card |
User Management | Support user library addition, deletion, update |
Record Management | Support local recording and real-time upload |
Interface | LAN×1, Wiegand Input×1, Wiegand Output×1, RS485×1, Alarm Input×2, Alarm Output×1, USB2.0×1,Lock×1, Door Contact ×1, Exit Button×1 |
Power Supply | Input 12V±25% DC |
Screen | Touch Screen, Size:7 inch, Resolution: 600×1024 |
Camera | Dual Lens, 2MP, 1080P |
Supplement Light | LED soft light and infrared light |
Dimensions (L × W × H) | 134.0mm×33.0mm×305.0mm |
Working Environment | For module:15℃-30℃, For terminal: −20℃-65℃, Relative Humidly<95% (non-condensing) |
Protection Level | IP54 |
Application Situation | Indoor, No Wind |