Example Projects Vision Starter Kit
Explore example projects for the Vision Starter Kit.
The projects are grouped by type, difficulty and estimated duration to help you choose the right starting point.
You can follow the guided projects step by step, use showcase projects as inspiration or try challenge projects to build your own solution.
Project Types
| Project type | Description |
|---|---|
| Guided Project | Step-by-step project with detailed instructions |
| Challenge Project | Task-based project with fewer instructions |
| Showcase Project | Demonstrator project that shows what is possible |
| Advanced Project | More complex project with higher hardware or software requirements |
| Community Project | A Project created by our Community |
Project Overview
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Vision Starter Project
Type: Guided Project
Difficulty: Basic
Estimated duration: 90 minutes
Requirements: Everything included in the Starter KitGet started with first image acquisition settings and an easy AI Classification and Anomaly Detection task.
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Classify Hex Nuts/Screws
Type: Guided Project
Difficulty: Basic
Estimated duration: 30 minutes
Requirements: Everything included in the Starter KitTry out the AI Classification tool by taking images of different hex nuts and screws to generate your first AI algorithm.
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Chocolate Inspection
Type: Showcase Project
Difficulty: Advanced
Estimated duration: 2 hours
Requirements: Chocolate bar, optional 3D print files or another packed grocery itemFollow along with SICK Nova tutorials and explore different AI and non-AI tools by inspecting a chocolate bar.
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Sketch Demonstrator
Type: Challenge Project
Difficulty: Advanced
Estimated duration: 2 hours
Requirements: Paper, EddingClassify different hand-drawn sketches with the AI Classification tool.
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Empty Box Detection
Type: Challenge Project
Difficulty: Advanced
Estimated duration: 1 hour
Requirements: Empty boxes, contaminations such as paper pieces, small stones or similar objectsAnalyze boxes and check whether they contain contamination or foreign objects using AI Anomaly Detection.
[Coming soon]
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Rock, Paper, Scissors
Type: Advanced Project
Difficulty: Expert
Estimated duration: 4 hours
Requirements: Raspberry Pi 5, display, keyboard, mouse, Python, Visual Studio CodeUse the sensor and AI tools to recognize hand signs for Rock, Paper, Scissors. A Python Flask web app compares the sensor-detected hand sign with a randomly selected computer sign.
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Sort LEGO Skeletons
Type: Advanced Project
Difficulty: Expert
Estimated duration: 4 hours
Requirements: LEGO skeletons, optional conveyor belt, trigger sensor, cables and signal lightAnalyze LEGO pieces and identify missing parts. The project can be extended with a conveyor belt and trigger sensor for automation.
[Coming soon]
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Recycling
Type: Challenge Project
Difficulty: Basic to Advanced
Estimated duration: 1 to 4 hours
Requirements: Waste objects, optional conveyor belt, optional pusher or feedback signalUse AI Classification to sort different types of waste for recycling tasks.
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Black Jack
Type: Advanced Project
Difficulty: Advanced to Expert
Estimated duration: 4 to 8 hours
Requirements: Playing cardsDetect and classify playing cards and develop logic to play Black Jack against the computer.
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UNO Card Game
Type: Advanced Project
Difficulty: Advanced to Expert
Estimated duration: 4 to 8 hours
Requirements: UNO playing cardsDetect and classify UNO playing cards and develop logic to play against the computer.
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Tic Tac Toe
Type: Challenge Project
Difficulty: Advanced
Estimated duration: 4 hours
Requirements: Paper, pen, scissorsAnalyze a Tic Tac Toe board and create a logic to play against the computer.
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Darts
Type: Challenge Project
Difficulty: Advanced
Estimated duration: 4 hours
Requirements: Velcro dart board with velcro ballsAnalyze thrown darts on a board and create logic for different games.
Contribute Your Own Project
You created your own project with the Vision Starter Kit?
Future community or university projects can be submitted through the GitHub.com project repository.