NVIDIA Jetson Nano OCR System Development

Development of an OCR-Based Industrial Vision System using NVIDIA
Jetson Orin Nano

About Us
We are an industrial automation company specializing in robotic palletizers, case packers,
end-of-line automation and custom machinery. We are building a reusable machine vision
platform, and this OCR project is Phase 1.
Project Objective
Develop a robust OCR application for NVIDIA Jetson Orin Nano using a camera to read
printed alphanumeric characters. The architecture should be modular and reusable for
future barcode, QR, AI inspection and robot guidance applications.
Hardware Platform
 NVIDIA Jetson Orin Nano Developer Kit
 Raspberry Pi HQ Camera (Sony IMX477) or equivalent CSI camera
 LED illumination
 C-Mount Lens
 Future migration to Basler industrial camera
Scope of Work
Camera Integration
 Acquire live images
 Control resolution/frame rate
 Capture on demand
Image Processing
 Cropping
 Rotation correction
 Perspective correction
 Brightness/contrast
 Noise removal
 Thresholding
 ROI selection
OCR Engine
 Read batch numbers
 Manufacturing dates

 Expiry dates
 Serial numbers
 Alphanumeric codes
 Robust to rotation, lighting and blur
Result Validation
 Display text
 Confidence score
 Pass/Fail
 Save failed images
 Processing logs
User Interface
 Live view
 ROI selection
 Exposure settings
 Capture
 OCR results
 Save settings
Software Requirements
 C++
 OpenCV
 Ubuntu Linux
 NVIDIA Jetson
 TensorRT (preferred)
 ONNX Runtime (optional)
 Tesseract/PaddleOCR
Deliverables
 Complete source code
 Build instructions
 Installation guide
 User manual
 Documented code
 Camera configuration
 Test dataset
 Sample results
 Deployment support
Acceptance Criteria
 Runs on Jetson Orin Nano
 Reliable OCR under controlled lighting

 Near real-time processing
 Modular architecture
Future Opportunities
Successful completion may lead to follow-on projects in barcode reading, AI inspection,
robot guidance, PLC communication and multi-camera vision.
Proposal Requirements
 Relevant experience
 OCR references
 Jetson/OpenCV experience
 Timeline
 Commercial quotation
 Portfolio/GitHub
 Proposed architecture