HD 30fps 1/5Inch GC2755 CMOS Sensor Integrated Endoscope Camera Module

This HD 30fps 1/5-inch GC2755 CMOS Sensor Integrated Endoscope Camera Module employs the GC2755 sensor. Its 1/5-inch miniature optical structure combined with a 1.6μm large-pixel design constitutes a balanced strategy between physical packaging and fundamental light-sensing performance. This approach inherently makes it suitable for space-constrained embedded scenarios requiring sustained imaging usability under variable lighting conditions. The module offers dual output formats—MJPEG and YUV2—optimized respectively for system integration efficiency and image processing flexibility. This empowers developers to select raw data sources based on application-layer algorithm requirements. Full UVC protocol support ensures cross-platform plug-and-play functionality, while OTG compatibility decouples the module from traditional computer dependencies, enabling direct integration into distributed vision nodes based on embedded hosts. Collectively, these technical features converge on a clear product positioning: delivering a cost-effective, highly compatible standardized solution for machine vision applications requiring rapid deployment, operating within physical space constraints, and prioritizing fundamental rather than extreme image quality.

Product Advantage ◢

1. Superior low-light imaging foundation: Featuring a large 1.6μm pixel size design, the sensor delivers significantly enhanced light sensitivity per pixel. This provides hardware assurance for capturing lower-noise, higher-usability images in dimly lit environments, ensuring clear and usable footage even in nighttime or unevenly lit scenarios.

2. Streamlined System Integration Experience: Fully supports UVC driverless protocol and OTG functionality. The UVC protocol enables cross-platform plug-and-play, substantially reducing integration complexity. OTG support allows direct collaboration with embedded devices without traditional hosts, greatly expanding deployment flexibility and application boundaries.

3. Flexible Data Output Strategy: Simultaneously provides MJPEG and YUV2 output formats. MJPEG format suits scenarios requiring efficient single-frame capture or constrained system resources; YUV2 delivers uncompressed raw data streams, meeting high-fidelity demands for post-processing and algorithm development. This design empowers developers to precisely balance “efficiency” and “image quality control” based on specific application needs.

Application Of Endoscope Camera Module◢

1. Industrial Precision Inspection: Its miniature packaging and high-definition imaging enable direct integration within automated equipment for applications demanding both compactness and precision, such as PCB solder joint inspection and micro-component dimensional measurement.

2. Medical Device Integration: Compact design and plug-and-play functionality allow embedding into handheld endoscopes, dermatoscopes, and life support equipment, delivering reliable imaging that meets clinical observation and documentation requirements.

3. Smart IoT Terminals: Leveraging UVC driver-free operation and excellent low-light performance, it rapidly deploys as the core vision module for systems like smart shelf monitoring, agricultural greenhouse surveillance, and AGV visual navigation.

4. R&D Validation: As an open-source standard module, it delivers a cost-effective, easily integrated image input solution for machine vision algorithm testing, biobehavioral research, and product concept prototyping.

Technical Parameters ◢

FAQ◢

1. Does this module support driverless operation on Linux systems and ARM-based embedded platforms (such as Raspberry Pi)?

Yes. This module strictly adheres to the UVC 1.0 protocol standard. It achieves plug-and-play functionality on most Linux distributions and ARM platforms (including Raspberry Pi, Jetson Nano, etc.) equipped with standard USB Host interfaces, without requiring additional driver development. The system will automatically recognize it as a video device node such as /dev/video0.

2. How should one choose between MJPEG and YUV2 output formats? What impact do these formats have on system resources?

The choice depends on the core requirements of your application scenario:

(1) MJPEG: Pre-compressed format with lower bandwidth usage (approximately 50-70% less than YUV2). Suitable for network transmission, storage-constrained environments, or scenarios requiring single-frame capture (e.g., surveillance snapshots, QR code recognition). Light CPU decoding load.

(2) YUV2: Provides uncompressed raw data preserving complete image information. Suitable for complex image processing, color analysis, or algorithm development (e.g., medical image analysis, machine vision measurement). However, it demands higher bandwidth, memory, and storage capacity.Recommend balancing real-time requirements, algorithm needs, and hardware resources based on actual application scenarios.

3. How stable is this module during prolonged continuous operation? Does it incorporate thermal management?

The module operates at a typical current of 100-120mA (@5V) with power consumption controlled at 0.5-0.6W, qualifying as a low-power design with minimal heat generation. The product has passed reliability tests including high-temperature storage (50°C/48h), temperature cycling (-20°C ↔ 60°C), and high-temperature/high-humidity (40°C/90%RH), ensuring stable 24/7 operation within typical commercial and industrial temperature ranges. For fully enclosed integration scenarios, ensure unobstructed airflow within the device's overall thermal path.