Vendor: Dahua

Dahua IPC-HFW5842E-ZE S3 8MP WizMind S-Series IR Vari-focal Bullet Network Camera

SKU: IPC-HFW5842E-ZE
Description

8MP AI-powered bullet camera engineered to deliver crystal-clear 4K video, intelligent human and vehicle classification, and robust outdoor performance for demanding Australian security applications.

Regular price $902.50 AUD Sale price $902.50 AUD Regular price $950.00 AUD
Sale 5.0% $47.50 AUD (5.0%)

inc GST + 3 Year Warranty & Support
Free shipping over AUD300

In stock
3-Year Warranty

3-Year Warranty

Warranty on all cameras

Free Shipping

Free Shipping

On orders over $300

30-Day Returns

30-Day Returns

Easy returns for unopened items

Fast Delivery

Fast Delivery

5-10 Day Delivery Australia-wide

Overview

Dahua IPC-HFW5842E-ZE-S3 8MP AI Bullet Camera provides high-resolution surveillance with advanced deep learning capabilities for precise object detection. It features a motorised vari-focal lens for flexible viewing angles and is built with an IP67 and IK10-rated housing to withstand harsh outdoor environments and vandalism.

Technical Specifications

- Image Sensor: The large 1/1.8-inch CMOS sensor ensures superior light intake for high-quality 8MP imaging.

- Video Resolution: Ultra-high-definition 4K video at up to 30 frames per second for smooth and detailed playback.

- Variable Focal Lens: The 2.7-12 mm motorised lens allows users to remotely adjust the field of view between 113/47 degrees.

- Night Vision: Integrated IR LEDs provide clear black-and-white footage in complete darkness at distances of up to 60 metres.

- AI Analytics: Advanced deep learning Features support face detection, people counting, and SMD 3.0 to filter out false alarms from animals or weather.

- Durability Ratings: IP67 weather-proof and IK10 vandal-resistant casing for reliable operation in extreme conditions.

- Power Options: Support for 12V DC, PoE, and ePoE offers flexible installation for various site power requirements.

- Compression Technology: AI-enhanced H.265/H.264 codecs significantly reduce storage and bandwidth usage without sacrificing image quality.