Security Camera-2MP IR Dome Camera-TC-NCL214N
Super Star Light EXIR Bullet Camera TC-NC9101S3E-2MP-ES 4mm
Super Star Light EXIR Bullet camera Description:
- H.265 codec.
- Ultra Low Light 0.0008lux.
- Up to 1920X1080 High Resolution.
- Smart IR,IR Rangr: 30m 50m.
- NIR, WDR,3D DNR, HLC, Dual-lCR, AWB, AGC, BLC.
- Triple Streams.
- Smart VQD(Video Quality Diagnosis).
- 10 kinds of Video Analysis Function.
- 9 Languages Supported.
- Audio l/o 1/1, Micro SD Card Slot, up to 128G, USB.
- TVS 6000V, Lightning/Surge 2000V Protection, IP67.
- CE,FCC.
Super Starlight EXIR Bullet Camera TC-NC294XG-2MP
Super Star Light EXIR Bullet camera Description:
- Super Starlight Ultra Low Light 0.0008lux.
- Up To 1080P, 1920x1080@30fps.
- H.265/H.264 HP/MP/BP/M-JPEG Codec.
- Min. Illumination Color: 0.0008 Lux; IR Free Design.
- Mechanical WDR 140dB.
- VCA Tripwire/Double Tripwire/Perimeter/Object Abandon/Object Lost/Running/Loitering/Parking/Crowd/Audio Abnormal Detection/ Video Abnormal Detection.
- NIR, WDR, 3D DNR, HLC, Dual-ICR, AWB, AGC, BLC.
- Interface Audio in/out 1/1,Alarm in/out 1/0, MicroSD Card Slot, up to 128GB, USB Storage up to 128GB ,Reset Button.
- TVS 6000V, Lightning/Surge Protection: (Power 2000V, RJ451000V), IP67.
- Operating Conditions -35℃~60℃, 0~95% RHG.
- CE, FCC.
zk-F22 WIFI Fingerprint Time Attendance and Card Access Control
Finger Print System Time Attendance zk-F22 Description:
- Type : Time Attendance System
- Brand : ZKTeco
- Keypads
- Built-in wifi to connect wirelessly to your network
- software included support Arabic and English for time attendance
- Type : Time Attendance System
- Are batteries needed to power the product or is this product a battery : No
ZKTECO – G2 Fingerprint Time Attendance & Access Control
ZKTECO – G4 Fingerprint Time Attendance & Access Control
ZKTECO - G4 Fingerprint Time Attendance Description:
- G4 is a multi-biometric identification terminal which features ZKTeco’s innovative Enhanced Visible Light Facial Recognition and SilkID fingerprint sensor technology.
- The device with latest technologies can perform recognition in a distance from 0.5m to 3m and will function automatically when face are detected so as to deliver higher recognition quality in terms of speed and accuracy than the previous near IR facial recognition.
- With the applied Deep Learning algorithm, pose angle tolerance and anti-spoof function have been greatly enhanced against dynamic environment and various spoofing attacks.
- Also with the world’s cutting-edge 3D Neuron Fingerprint Algorithm, it precisely authenticates dry, wet, or rough fingerprints efficiently and accurately.