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4 MP DarkFighter Varifocal Bullet Network Camera

4 MP DarkFighter Varifocal Bullet Network Camera

Models: TR-CD3683G2-MZ(2.8-12mm)

TRANSLOGI TR-CD3683G2-MZ is a 4 MP bullet network camera featuring a motorized varifocal lens and ultra-low light DarkFighter technology, integrated with deep learning algorithms for precise human and vehicle classification, all enclosed in a highly durable, water-resistant, and vandal-proof design (IP67/IK10).

Supports 1.5 Tops computing power, 60 MB system memory, 400 MB smart RAM, and 2 GB eMMC storage for sharing resources
High quality imaging with 4 MP resolution
Clear imaging against strong back light due to 140 dB WDR technology
Motorized varifocal lens for easy installation
Efficient H.265+ compression technology to save bandwidth and storage
Focus on human and vehicle targets classification based on deep learning
Water and dust resistant (IP67) and vandal proof (IK10)

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Datasheet

3D Digital Noise Reduction

This is an image enhancement technology that automatically filters and minimizes video noise, delivering clearer and crisper footage.

140 dB WDR

Corresponds to the 140 dB Wide Dynamic Range (WDR) technology. This feature allows the device to capture clear and highly detailed images even against strong back light environments.

H.265+ Compression

Represents the highly efficient H.265+ video compression technology. This helps the system effectively save network bandwidth and storage capacity without compromising image sharpness.

Vandal-proof

The device is IK10 certified, featuring an extremely durable, vandal-proof housing that safely protects the camera against external physical impacts and destruction.

Key Features

Deep Learning Classification: Uses advanced algorithms to accurately classify human and vehicle targets across both front-end and back-end systems.
Selective Alarms: Triggers alerts for basic events (such as motion detection, line crossing, or intrusion) only when the detected object is identified as a human or a vehicle.
Reduced False Alarms: Filters out irrelevant movements to focus exclusively on key targets, significantly improving alarm accuracy and overall system efficiency.