Embedded QR Scanning Appliance
A camera-based scanning appliance that connects QR codes to industrial part-information workflows.
Python application development and embedded integration
My contribution
Python application development and embedded integration
I developed the Python/PyQt terminal application and embedded integration, connecting camera scanning, operator controls and local-network production records. System design is credited to Hosein AlamShahi.
Team & credits
- Hossein Aalamshahi — System design
Delivered scope
A dedicated scanning workflow connecting camera input, operator controls and local-network information.
What stands out.
- Camera scan to production build sheet
- Touch-enabled industrial terminal
- Remote device status & maintenance
From the problem to the implementation.
The problem
Operators need a straightforward way to identify parts and reach their records without navigating a general-purpose computer.
The approach
- Developed the Python application and PyQt scanning interface.
- Integrated OpenCV, a Raspberry Pi camera and GPIO-driven device functions.
- Added operator controls for scanning, camera focus and image orientation.
Result & scope
A dedicated scanning workflow connecting camera input, operator controls and local-network information.
Implementation choices and demonstrated scope.
Engineering decisions
A dedicated Raspberry Pi terminal connects camera input to local production records. Touch controls support the workstation workflow, with keyboard and mouse alternatives and a separate network device-control panel.
Validation & evidence
Photographs show assembled terminals and application screens. Archival recordings show device development and remote maintenance. No measured scan accuracy, throughput or deployment count is supplied.
Explore 13 project images and 2 archival recordings, with captions identifying the hardware, interface or prototype shown.
Inside the project
13 images
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Enlarge imageSee it in action
Building the scanning device
Device-design and setup demonstration. Silent demonstration.
Open videoNetwork status & device controls
Device status and configuration through the network panel. Silent demonstration.
Open videoHow the system works
Select a block to explore its role.
A guided illustration of the system components.
Product document
A QR code identifies the part or production record.
Camera and scan UI
Raspberry Pi, Pi Camera and Python/PyQt provide the operator interaction.
Local-server lookup
The scan leads to the product page and associated build sheet.
Task update
The worker browses and edits production information using touch or peripherals.
Device administration
A network panel provides device status, commands and settings.
The detail behind the build
Production records at the workstation
Workers scan a product document to open the matching record from a local server, then update the part build sheet as tasks are completed. The terminal connects a camera-based input to the production-information workflow.
The operator journey
Present the document to the camera, scan the QR code, load the relevant product page and update its information. Touch input is supported, with a keyboard and mouse available as alternatives.
Scan the product document
Retrieve its production record
Review and update the build sheet
A purpose-built device interface
The Python/PyQt application provides scan controls, a main menu, troubleshooting views and camera setup. The project gallery shows these interfaces on the physical terminals and several assembled devices together.
Administration over the local network
A separate device-control panel provides status, settings and control commands through the network. The demonstration recordings show device development and the remote maintenance workflow.
Software, hardware & tools.
Software
- Python terminal application
- Camera scanning & server integration
Hardware
- Raspberry Pi
- Pi Camera
- Touchscreen
- Keyboard/mouse support
- Custom device enclosure
Technology stack
- Embedded Linux
- Production workflows
- Device management
Project contributions.
- Hossein Aalamshahi
- System design
Working on a related challenge?
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Offline RFID Attendance
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