Search results for: 'pro x8 mP'

Discontinued.

Bulit-In Mic, 4-in-1, 2.8 mm, WDR

Deep learning-based motion detection 2.0 for all analog channels, Deep learning-based perimeter protection, H.265 Pro+/H.265 Pro/H.265/H.264+/H.264 video compression
HDTVI/AHD/CVI/CVBS/IP video inputs, Audio via coaxial cable, Up to 32-ch IP camera inputs (up to 8 MP), Up to 10 TB capacity per HDD

Platinum 8 MP Hybrid Illumination Turret Network Camera, Built-in Microphone. MD 2.0 - Human and Vehicle Detection

CMIP7112F-SE is a fisheye network camera capable of providing a 360-degree panoramic image of its scene. The progressive scan CMOS sensor provides high-resolution images of up to 3504 × 3504. Up to 20 live view display modes, designed for 3 mount types, meet various user preferences. Three independently controlled IR lights offer a range of 15 m and provide good vision in low or even zero-light environments.

Ultra-low-light, 2 MP High Performance CMOS, 1920 × 1080 Resolution, 2.8 mm Fixed Lens, 130 dB True WDR, 3D DNR, Matrix IR 2.0, Smart IR Ranging up to 98 ft (30 m), 4-in-1 Video Output (TVI / AHD / CVI / CVBS), IP67, OSD Menu via UTC technology with Platinum DVR

Color 24/7, 2.1 MP High Performance CMOS, 1920 × 1080 Resolution, 3.6 mm Fixed Lens, Supplemental Lighting up to 66 ft (20 m), 3D DNR, True WDR, 4-in-1 Video Output (Switchable Among TVI / AHD / CVI / CVBS), IP67, OSD Menu via UTC Technology with Platinum DVRs

Discontinued. Platinum TVI Camera, 2 MP high performance CMOS sensor, OSD Menu via UTC (with Platinum DVR), Junction Box Included

1/2.5" Progressive Scan CMOS, 3840 × 2160 @15 fps, 2.8 to 12 mm varifocal lens, Color: 0.018 Lux @ f 1.6, AGC on, 0 Lux with IR, H.265+, H.265, H.264+, H.264

4 MP Eyeball IP Camera with H.265+, 2.8 mm Fixed Lens, IR LED lighting up to 165 ft, 120 dB WDR, Built-in Mic, and more Learn More

Platinum 4 MP Bullet IP Camera, 2.8 mm Fixed Lens, MicroSD Card, IP67, Color 24/7, MD 2.0

Platinum, IP Bullet, 4 MP, 1/3" Sensor, 4 mm, WDR, Built-in Microphone, 12 VDC / PoE, MD 2.0 - Human and Vehicle Detection