Where Vadzo’s Medical Imaging Cameras Deliver Impact
Medical imaging cameras provide stable high-resolution imaging, controlled exposure behavior, and consistent frame delivery required for clinical visualization and diagnostic workflows. Advanced sensor performance, low-noise imaging, and flexible integration enable reliable vision input across medical devices, laboratory systems, and patient care platforms.
Digital Pathology
High-resolution monochrome and color imaging supports whole-slide digitization, cellular detail capture, and accurate pathology analysis.
Dermatology Device
High-resolution, low-noise imaging enables precise visualization of skin texture, pigmentation, and surface conditions for clinical dermatology assessment.
Surgical Imaging
Low-latency imaging provides real-time visual feedback for instrument tracking, navigation guidance, and precision-assisted procedures.
Clinical Microscopy
High pixel-density imaging enables quantitative analysis, sample inspection, and automated microscopy workflows in clinical laboratories.
Point-of-Care Diagnostics
Compact imaging platforms support rapid diagnostic systems requiring stable exposure control and consistent image quality for analytical accuracy.
AI Clinical Imaging
High-quality image streams enable AI-based detection, segmentation, and classification models for automated clinical decision support.
Vadzo’s Medical Imaging Camera Portfolio
Vadzo Imaging offers a focused portfolio of medical imaging cameras optimized for clinical environments ranging from diagnostic imaging to laboratory automation. High-resolution sensors, low-noise imaging performance, and stable system integration make these cameras suitable for medical devices requiring consistent visual performance and predictable operation. Our latest high-bandwidth Vajra Series cameras support data-intensive medical imaging pipelines, while existing Falcon and Bolt series provide scalable solutions for broader healthcare and laboratory applications.
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Our Software Suite for UVC Cameras
Vadzo ARC is a software suite designed for seamless integration and control of USB Video Class (UVC) cameras. It provides precise camera configuration, real-time imaging adjustments, and firmware update management for Windows, Linux and Android platforms. The SDK ensures reliable performance with features like Region of Interest (ROI) configuration, Smart GPIO control, and fail-safe firmware updates.
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Vadzo ARC Software
VISPA ARC SDK: UVC Camera Control and Integration
VISPA ARC SDK enables camera control, video streaming, and hardware management for Vadzo USB cameras on Windows and Android. It supports autofocus, still capture, ROI, image flip, SMART IO, and secure updates. Windows includes DLL support, while Android SDK ensures seamless integration with Falcon and Merlin cameras.
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Be the first to test the world’s fastest USB 3.2 Gen 2×2 UVC cameras.
Get early access to Vadzo’s USB 3.2 Gen 2×2 UVC camera series with ultra-high bandwidth and low latency. Request pre-order samples, evaluation kits, and SDKs, available within 2 weeks, with support for customization, integration, and bulk pricing.
Pre-Order Camera Samples: Lead Time (8 Weeks).
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Lens Holder Modifications & Electro-Mechanical Lens Filter Control.
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Medical Device and Patient Care
High-Performance Medical Imaging Cameras for Precision Clinical Systems.
How Our Medical Imaging Cameras Solve Clinical Challenges
Low-Light Clarity
High Dynamic Range
Real-Time Imaging
System Compatibility
Low-Light Clarity
High-sensitivity sensors with low noise enable clear imaging in low-illumination clinical environments, minimizing reliance on high-intensity lighting.
High Dynamic Range
HDR imaging preserves detail across highlights and shadows, enhancing visibility of tissue structures and surgical instruments.
Real-Time Imaging
Low-latency acquisition and fast readout ensure smooth visualization and responsive feedback during diagnostics and guided procedures.
System Compatibility
Standard interfaces, SDK control, and flexible optics enable seamless integration into medical and diagnostic imaging systems.