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Home > Consumer Electronics > Photographic Apparatus > Digital Camera > 1080P Full HD RJ45 IP Camera Module | Anti-Fog Design | H.264 & H.265 Encoding | Embedded Camera for Smart Unmanned Vending Machine & Retail Cabinet

1080P Full HD RJ45 IP Camera Module | Anti-Fog Design | H.264 & H.265 Encoding | Embedded Camera for Smart Unmanned Vending Machine & Retail Cabinet

1080P Full HD RJ45 IP Camera Module | Anti-Fog Design | H.264 & H.265 Encoding | Embedded Camera for Smart Unmanned Vending Machine & Retail Cabinet photo-1

Product Spotlights

Built for refrigerated vending cabinets, eliminates lens fog caused by temperature differences during door opening, restores clear imaging within seconds.

Negotiable MOQ: 500 Pieces (Price negotiable depending on order volume and customization)

Key Specifications

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Type:

Compact

Lens:

Other

Viewfinder Type:

Optical Viewfinder

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Shenzhen Ruishi Technology Co., Ltd.

Payment & Shipping

Payment Methods:

Port of Shipment:

Shenzhen

Delivery Detail:

30 days

Product Details
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Type Compact

Lens Other

Viewfinder Type Optical Viewfinder

Megapixel Other, 2MP

Video Capture Video Capture

Image Sensor CMOS

Origin China

Product Description

This embedded network camera module is purpose-built for smart unmanned retail scenarios, including refrigerated vending machines, snack lockers, fresh food cabinets and self-service retail kiosks.

It addresses a critical pain point in refrigerated retail: lens fogging from sudden temperature changes when cabinet doors open. With an integrated anti-fog system, it maintains consistently clear vision and prevents AI recognition failures caused by blurred footage. The 2MP CMOS sensor paired with a scene-optimized ISP delivers stable, color-accurate HD video even under challenging lighting such as backlight and reflective product packaging.

Featuring a standard RJ45 Ethernet interface and dual H.264/H.265 encoding, the module delivers low-latency network transmission while drastically reducing storage and bandwidth costs. Its compact housing supports flexible embedded installation, and industrial-grade components ensure 24/7 reliable operation in commercial environments. It is an ideal imaging solution for unmanned retail systems requiring AI goods identification, transaction anti-fraud and remote operation management.

Technical Specifications

Item	Specification
Image Sensor	1/3" Progressive Scan CMOS, 2 Megapixel
Max. Resolution	1920 × 1080 (1080P)
Frame Rate	30fps @ 1080P (H.265/H.264)
Video Encoding	H.265, H.264
Interface	RJ45 10/100Mbps Ethernet
Power Supply	PoE (IEEE 802.3af) / 12V DC
Anti-Fog Function	Integrated heating structure + image defog algorithm
Lens Type	Fixed-focus lens (custom FOV available)
Field of View	136° (customizable)
Working Temperature	-20°C ~ 60°C
Working Humidity	20% ~ 90% RH (non-condensing)
Housing Material	ABS plastic
Dimension	Compact square design (custom size supported)
Certification	RoHS, CE compliant

Core Advantages

1. Targeted Anti-Fog Technology for Refrigerated Retail

Unlike general-purpose camera modules, this product adopts a dual anti-fog design combining physical heating and image algorithm processing. It effectively suppresses lens condensation caused by large temperature differences in cold cabinets, recovers clear imaging in a short time after door opening/closing, avoids AI commodity recognition failure due to blurred pictures, and reduces daily operation and maintenance costs.

2. High-Efficiency Compression & Reliable Network Transmission

With advanced H.265 compression technology, it reduces bandwidth occupation and storage space by 50% compared with H.264 under the same image quality, lowering the overall system operating cost. The standard RJ45 Ethernet interface ensures stable long-distance data transmission. With PoE power supply support, only one network cable is needed to complete power supply and data transmission, simplifying on-site wiring and installation.

3. ISP Algorithm Optimized for Retail Scenarios

The built-in image signal processor is deeply tuned for unmanned retail scenarios: it optimizes the color restoration effect of commodity packaging, suppresses glare and reflection of plastic and paper packaging, and reduces motion blur during door opening and closing. The optimized image output can effectively improve the recognition accuracy of the backend AI algorithm and reduce the misjudgment rate of commodity settlement.

4. Industrial-Grade Stability for 24/7 Operation

Adopting industrial-grade components and a stable circuit design, it supports long-term 7×24 uninterrupted operation, adapts to a wide temperature working environment from low-temperature refrigeration to room temperature, and maintains stable performance. The compact square housing is suitable for embedded installation of various cabinet equipment without occupying internal commodity display space.

Application Scenarios