AI-Powered Medical Imaging at the Edge
Real-Time 4K Vision and On-Device AI for Next-Generation Medical Devices
Rhonda AI Camera is a compact, high-performance Edge AI imaging platform designed to power intelligent medical systems — from digital microscopy to advanced endoscopy.
Built on the Ambarella® CV72S SoC with dedicated AI acceleration, the platform delivers real-time 4K imaging with hardware-accelerated neural networks — directly inside your medical device.
Designed for Medical OEMs
Develop AI-powered medical imaging systems without building complex vision hardware from scratch.
Rhonda AI Camera enables:
- Real-time 4K capture at 60 fps
- On-device CNN and Transformer inference
- Hardware-accelerated H.264 / H.265 encoding
- Powerful ISP with advanced image processing
- Compact integration-ready architecture
Digital Microscopy Solutions
Intelligent Pathology and Laboratory Imaging
Digital microscopy demands ultra-high detail, consistent image quality, and AI-assisted analysis. Rhonda AI Camera provides:
4K High-Resolution Live Imaging
- 3840×2160 @ 60 fps capture
- Smooth digital zoom and slide navigation
- High-efficiency 4K streaming and recording
Real-Time AI-Assisted Diagnostics
- Hardware acceleration for CNN/DNN and Transformer models
- Support for Visual Language Models (CLIP, OWL2, Florence-2)
Use cases:
- Cancer cell detection
- Blood smear classification
- Rare cell event detection
- Automated cell counting
- AI-based anomaly detection
Advanced Image Enhancement
The Ambarella ISP includes 30+ image quality filters enabling:
- Noise reduction in low-light samples
- Contrast enhancement
- Color normalization
- Edge sharpening
- AI-based denoising
All processing occurs on-device — reducing latency and preserving patient data privacy.
Digital Endoscopy Solutions
Real-Time AI in Minimally Invasive Procedures
Endoscopic systems require low latency, exceptional clarity, and intelligent assistance during procedures.
Rhonda AI Camera delivers:
4K Surgical Imaging
- 4K @ 60fps capture
- 480 MPixel/s encoding performance
- Hardware H.264/H.265 encoder
Ensuring:
- High-detail visualization
- Smooth motion rendering
- Low-latency display
On-Device AI Surgical Assistance
Dedicated CVflow hardware accelerator supports:
- Real-time polyp detection
- Bleeding detection
- Tumor margin estimation
- Instrument tracking
- Anatomical landmark recognition
No external GPU required. Deterministic latency. Secure local processing.
Built for Integration
Compact AI Vision Engine
The CV72S SoM core measures just 58 × 50 mm, making it ideal for:
- Endoscopy towers
- Portable diagnostic devices
- Laboratory imaging systems
- AI screening stations
Flexible Interfaces
- MIPI CSI/DSI camera interfaces
- HDMI 2.0 output
- USB 3.2 Host/Device
- Gigabit Ethernet
- RS-232 / RS-485 (camera model)
- 12–24V DC power input
Edge AI Advantages for Healthcare
- ✔ Lower latency than cloud-based AI
- ✔ Enhanced patient data privacy
- ✔ Reduced system BOM (no external GPU)
- ✔ Lower power consumption
- ✔ Compact medical device integration
- ✔ Dataset collection for continuous model improvement
AI Model Development & Porting
We support:
- Customer model porting
- Integration from third-party CV vendors
- Zero-shot and few-shot learning workflows
Future-Ready Medical AI Platform
Rhonda AI Camera supports modern AI architectures including Transformer and LLM-based vision systems — ensuring your medical product remains competitive as AI models evolve.
Partner With Us
Accelerate development of:
- AI-powered digital microscopes
- Smart endoscopy systems
- Portable diagnostic devices
- AI-assisted surgical imaging
- Automated laboratory analysis systems