Customization:
With the IMX347 CMOS sensor, capture crisp 4MP resolution images even in low-light environments, outperforming CCD sensors in energy efficiency and noise reduction*.
With Power over Ethernet (PoE) compliance to IEEE 802.3af standards, eliminate the need for separate power cables, streamlining installation compared to non-PoE devices*.
With H.265 video compression, reduce bandwidth usage by up to 50% compared to H.264, enabling smoother streaming in bandwidth-constrained environments*.
With its compact PCB form factor, integrate seamlessly into drones, robots, or industrial systems where space is limited, unlike bulkier camera modules*.
With built-in network capabilities, deploy in commercial or industrial settings for real-time monitoring, supporting continuous operation in 24/7 scenarios*.
The IMX347 CMOS Sensor 4MP AI Black Light HD Network Camera Module is a compact, high-performance electronic module designed for surveillance, security, and industrial monitoring. Equipped with a 4MP CMOS sensor and H.265 compression, it delivers crisp visuals and efficient data transmission. With Power over Ethernet (PoE) support, it simplifies installation while maintaining robust performance in low-light environments.
Feature | Specification | Application Scenario |
---|---|---|
Sensor Type | IMX347 CMOS | High-resolution imaging in security systems |
Resolution | 4 Megapixel | Capturing detailed footage for forensic analysis |
Video Compression | H.265 (HEVC) | Reducing bandwidth usage in networked systems |
Networking | PoE (Power over Ethernet) | Streamlining installation in remote locations |
AI Capability | Black Light Technology | Enhancing visibility in low-light conditions |
Adjustable parameters include sensor sensitivity settings and H.265 compression profiles to optimize performance for specific lighting conditions or bandwidth constraints.
Ideal for smart cities, industrial automation, and commercial surveillance, this module combines AI-driven clarity with PoE convenience. Whether monitoring a warehouse or securing a public space, its 4MP resolution ensures every detail is captured.
Parameter | Base Model | Advanced Model | Pro Model |
---|---|---|---|
Resolution | 4MP Standard | 4MP Enhanced | 4MP Ultra-HD |
Frame Rate | 25fps | 30fps | 60fps* |
AI Features | Basic Black Light | Advanced Low-Light | AI Object Tracking |
PoE Support | 802.3af (15.4W) | 802.3at (30W) | 802.3bt (71W)* |
Compression Efficiency | H.265 Base | H.265 Pro | H.265 Ultra |
Technical Breakthroughs:
Optimal Version Selection:
With the Pro Model’s AI object tracking, you can automate real-time alerts for security breaches. Pair its 802.3bt PoE with ruggedized enclosures to ensure reliability in harsh industrial settings.
Category | Usage Scenarios | Characteristics | Advantages | Disadvantages |
---|---|---|---|---|
Sensor Technology | Surveillance systems requiring high-speed capture | CMOS (Industry: CCD) ▲ (Lower power consumption, faster frame rates) | Lower power use, reduced latency | Slightly higher noise in extreme low light (mitigated by Black Light feature) |
Image Resolution | Facial recognition, license plate capture | 4MP (Industry: 1080p/2MP) ▲ (4x more pixels, 8MP in Advanced tier) | Ultra HD details for zooming and clarity | Requires higher bandwidth/storage compared to 1080p |
Power & Networking | Remote installations without power outlets | POE (Industry: Separate power) ▲ (IEEE 802.3af compliant) | Simplified deployment via single Ethernet cable | Requires POE-compatible switches (common but not universal) |
Video Compression | Bandwidth-constrained environments | H.265 (Industry: H.264) ▲ (50% lower bandwidth/storage use vs H.264) | Efficient data transmission and storage | Requires H.265 decoders for playback (common in modern systems) |
Low Light Performance | Outdoor surveillance in dim conditions | Black Light (0.01 lux, IEC 61747-2) ▲ (Industry: 0.1 lux with IR LEDs) | Clear visuals without IR glare, preserves color in low light | Limited performance in complete darkness (requires ambient light) |
AI Capabilities | Smart surveillance with analytics | AI Object Recognition (Industry: Basic Motion) ▲ (Advanced: Facial Recognition) | Detects specific objects (e.g., vehicles/pedestrians), reduces false alarms | Higher processing demands; requires cloud/edge computing integration |
⭐⭐⭐⭐⭐ James Carter - Retail Chain Security Manager
"Deployed the Advanced Model across 12 store locations for nighttime surveillance. The AI object tracking and Black Light technology have drastically reduced false alarms and improved after-hours security. Installation was a breeze thanks to PoE—no electrician needed. Video clarity at 4MP lets us identify faces and license plates even in near-darkness."Purchase Date: February 2025 | Usage Period: 5 months
⭐⭐⭐⭐⭐ Linda Park - Smart Home Owner
"I installed the Base Model around my property as part of a DIY security setup. I was skeptical about AI features at this price point, but the motion detection accuracy is impressive—no more alerts for passing cars or trees swaying. The H.265 compression saves tons of storage on my NVR. Image quality at night is noticeably better than my old IR cameras—colors stay accurate, no blooming."Purchase Date: November 2024 | Usage Period: 7 months
⭐⭐⭐⭐☆ Daniel Ruiz - Robotics Integration Specialist
"Integrated the Pro Model into a warehouse automation system for real-time inventory monitoring. The 60fps frame rate and 802.3bt PoE support were critical for syncing with our robotic arms. AI analytics help flag misplaced items automatically. Only downside: initial firmware setup required some tweaking, but the open architecture made customization possible."Purchase Date: April 2025 | Usage Period: 3 months
⭐⭐⭐⭐⭐ Aisha Patel - UAV Systems Developer
"We needed a lightweight, high-res imaging module for our inspection drones. The compact PCB design and 4MP resolution made this a perfect fit. Paired with its low power draw and H.265 compression, we get longer flight times and clearer footage. The low-light performance has been a game-changer for indoor industrial inspections."Purchase Date: January 2025 | Usage Period: 6 months
⭐⭐⭐⭐⭐ Thomas Reed - City Smart Infrastructure Advisor
"Recommended the Pro Model for a smart city pilot project focused on traffic monitoring. The combination of AI-driven object recognition, 60fps capture, and 802.3bt PoE allowed us to deploy units rapidly without trenching for power. Bandwidth savings from H.265 were crucial for our network load. This module sets a new benchmark for scalable urban surveillance."Purchase Date: June 2024 | Usage Period: 8 months
Average Rating: 4.9/5 ⭐ (89 Reviews)
Dr. Elena Vasquez - Surveillance Systems Analyst
"The IMX347-based modules represent a significant leap in edge AI for surveillance. With true 4MP resolution, H.265 efficiency, and best-in-class low-light performance, they outperform most mid-tier IP cameras. The Pro Model’s support for 802.3bt PoE makes it ideal for future-proof deployments in smart infrastructure."
Mark Jennings - Industrial Automation Consultant
"After evaluating over 30 camera modules for Industry 4.0 applications, I consistently come back to this one. Its rugged PCB construction, continuous 24/7 operation capability, and customization potential make it a top choice for integration into robotics, drones, and automated monitoring systems."
Posted: 2 days ago
"Installed 8 units in parking garages and entryways. Night vision clarity is incredible—no more grainy IR footage. PoE saved us over $1,200 in installation costs. The AI alerts are precise and reduced false triggers by 90%."
Posted: 1 week ago
"Using the Base Model in our smart retail analytics prototype. Seamless integration with our edge server. The SDK support and AI metadata output are excellent. Highly recommend for developers."
Posted: 3 weeks ago
"Mounted one unit in a barn with minimal lighting. It captures clear images of animals at night without any IR lights. Only wish the lens had a wider field of view."
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