| Nom De La Marque: | SNUKE |
| Numéro De Modèle: | LN-D27F |
LN-D27F Integrated Endoscopy Platform | Clinical-Grade Imaging & Illumination
Engineered for the operating room, the LN-D27F integrates a 1080P/60FPS camera, FPGA processor, and LED light source. Delivers clinical features like vessel enhancement and noise reduction for superior surgical visualization and documentation.
The LN-D27F Integrated Endoscopy Platform is a professional-grade system that unifies high-definition imaging, programmable processing, and surgical illumination into a single, cohesive unit. Designed for clinical efficiency, it captures and records 1080P video at 60FPS via a premium SONY CMOS sensor. Its re-programmable FPGA core facilitates advanced image algorithms and future enhancements, while integrated features like vessel enhancement and noise reduction provide the visual clarity demanded in modern minimally invasive surgery.
| Attribute | Detail |
|---|---|
| Platform Type | Integrated Camera, Light & Recorder |
| Video Specification | 1080P, 60 FPS (Live & Recorded) |
| Imaging Sensor | SONY CMOS |
| Processing Architecture | Re-programmable FPGA |
| Clinical Imaging | Vessel Enhancement, Adaptive Noise Reduction |
| Illumination System | Integrated, Adjustable LED Source |
Precision Imaging Engine:
High-Definition Surgical Video: Provides 1080P resolution at a fluid 60FPS, ensuring precise temporal resolution for accurate instrument and tissue tracking.
Medical-Grade SONY CMOS Sensor: Offers excellent low-light performance and color accuracy, forming a reliable foundation for diagnostic and procedural imaging.
FPGA-Based Computational Platform: The FPGA's hardware-level programmability supports complex, real-time image processing pipelines, enabling features like real-time vessel mapping and providing a gateway for custom clinical applications.
AI-Assisted Vessel Enhancement: Employs sophisticated edge-detection algorithms to automatically highlight vascular networks, improving anatomical orientation and reducing the risk of unintended vascular injury.
Multi-Frame Noise Reduction: Utilizes temporal filtering techniques to suppress image noise without sacrificing detail, ensuring a diagnostically clean visual output.
Integrated Illumination System:
Dedicated LED Light Engine: A high-luminance, cool-running LED source integrated within the host provides consistent, shadow-free illumination for optimal cavity visibility.
Digital Intensity Modulation: Offers precise control over light output (0-100%) with real-time feedback, allowing surgeons to optimize visibility for different tissues and procedures.
Thermal & Electrical Stability: The system is designed to maintain consistent color temperature and output intensity, unaffected by prolonged use or power fluctuations.
This platform is engineered for a broad spectrum of clinical environments:
Hospital operating rooms for laparoscopic and arthroscopic procedures.
Ambulatory surgery centers and specialized clinics.
Urology and gynecology departments for endoscopic interventions.
Clinical training and surgical education facilities.
Our commitment to clinical excellence includes:
24-Month Comprehensive Warranty: Full coverage for manufacturing defects.
Dedicated Clinical Support: Specialized assistance for setup and optimization.
Future Firmware Updates: Leverage the FPGA to receive new imaging features and improvements.
Extended Service Agreements: Options for ongoing maintenance and support.
| Specification | Details |
|---|---|
| Model | LN-D27F |
| Video Resolution | 1920x1080P (60 FPS) |
| Sensor | SONY CMOS |
| Main Processor | FPGA |
| Light Source | Integrated LED |
| Luminous Flux Range | 800 - 2600 lm |
| Color Temperature Range | 3000 - 7000 K |
| Video Outputs | HDMI, DVI, SDI, CVBS, VGA |
| Storage Media | Internal SSD, External USB |
| Display | 6.8-inch Touch Screen |
| Power Consumption | 100W |
| Operating Range | -10°C to 60°C |
Keywords:
#IntegratedEndoscopyPlatform #ClinicalEndoscopy #SurgicalImaging #FPGAinSurgery #VesselEnhancement #MedicalVideo #LN-D27F #OperatingRoomTechnology #AllInOneMedicalSystem