TR-CD3683G2-MZ 4 MP DarkFighter Varifocal Bullet Camera

Video Management Software:

IP67 Weatherproof

IK10 Vandal-Proof

The TR-CD3683G2-MZ is a 4 MP DarkFighter varifocal bullet camera engineered for challenging environments. Powered by 1.5 TOPS deep-learning AI, it delivers precise human and vehicle classification at the edge — with 140 dB WDR, up to 60 m IR illumination, and an open HEOP 2.0 platform for custom analytics deployment.
  • 4 MP max. resolution
  • 60 m IR range
  • 140 dB WDR
  • 1.5 TOPS AI computing
  • IP67 + IK10 protection rating

Key Features

Built for demanding outdoor deployments — from perimeter protection to forensic-grade evidence capture.

4 MP DarkFighter Imaging

1/1.8" CMOS sensor delivers colour clarity down to 0.0014 Lux — see detail in near-total darkness without white-light flood

AI Human & Vehicle Classification

1.5 TOPS deep-learning engine classifies humans and vehicles at the edge — reducing false alarms by filtering out irrelevant motion triggers

140 dB Wide Dynamic Range

Industry-leading 140 dB WDR maintains clear imagery against intense backlighting — entrances, loading docks and sun-facing facades all handled

Motorized Varifocal Lens

2.8–12 mm motorized varifocal lens adjusts focus and zoom remotely — no manual intervention during installation or scene reconfiguration

HEOP 2.0 Open Platform

60 MB memory + 400 MB smart RAM + 2 GB eMMC storage — deploy custom Caffe, PyTorch, TensorFlow or ONNX analytics via the open SDK

IP67 + IK10 Rated

Dust-tight and water-resistant (IP67) plus IK10 vandal-proof — rated for outdoor operation from -40 °C to +60 °C

See clearly when others go dark

See clearly when others go dark

The DarkFighter 1/1.8" CMOS sensor achieves colour imaging at just 0.0014 Lux. Combined with smart IR illumination up to 60 m, the TR-CD3683G2-MZ captures actionable evidence in parking lots, building perimeters and loading docks — even in complete darkness.

Open platform — your analytics, your rules

Open platform — your analytics, your rules

HEOP 2.0 gives you 60 MB RAM, 400 MB smart RAM and 2 GB eMMC storage to deploy your own AI models. Supports Caffe, PyTorch, TensorFlow, PaddlePaddle and ONNX with C/C++ SDK — no proprietary lock-in.

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