UNV 2MP Deep Learning Mini Bullet Camera

The UNV 2MP Deep Learning Mini Bullet Camera offers advanced surveillance capabilities with its state-of-the-art deep learning technology. Designed for effective perimeter protection, it minimizes false alarms while ensuring high-quality video capture in various lighting conditions.

Features

• Deep Learning Technology: Utilizes advanced algorithms for accurate target classification, significantly reducing false alarms caused by non-threatening objects such as leaves and animals.
• Perimeter Protection: Features cross line detection, intrusion detection, enter area, and leave area detection to enhance security.
• Smart IR: Provides infrared illumination up to 40 meters (131 feet) for clear night vision.
• Wide Dynamic Range (WDR): Achieves up to 120dB WDR for improved image quality in challenging lighting conditions.
• Ultra H.265 Compression: Balances the need for high-definition video with efficient storage and bandwidth usage.
• Multiple Video Streams: Supports triple streams for flexible viewing and recording options.
• People Counting: Capable of counting people and monitoring crowd density for enhanced situational awareness.
• Robust Build: IP67-rated for protection against dust and water, suitable for various outdoor environments.

Specifications

• Max Resolution: 2MP (1920x1080)
• Sensor: 1/2.8" CMOS
• Minimum Illumination: Color: 0.001 lux (F1.6, AGC ON), 0 lux with IR
• Day/Night: IR-cut filter with auto switch (ICR)
• Shutter: Auto/Manual, 1 ~ 1/100000s
• Lens: Fixed, 2.8mm or 4.0mm options
• Field of View: Horizontal: 106.7° (2.8mm), 87.5° (4.0mm); Vertical: 57.1° (2.8mm), 46.3° (4.0mm)
• Video Compression: Ultra 265, H.265, H.264, MJPEG
• Audio Compression: G.711U, G.711A
• Storage: Micro SD, up to 512 GB
• Power: DC 12V±25%, PoE (IEEE 802.3af)
• Dimensions: 155.9 × 63.1 × 62.7 mm
• Weight: 0.42 kg
• Operating Temperature: -30 °C ~ 60 °C
• Surge Protection: 4KV