Description
Learn how to create a solder inspection based on AI Classifier model that detects faulty parts using Brain Builder for AITRIOS - no coding required!
🛠️ In this step-by-step tutorial, we will show you how to:
- Prepare the dataset: label good vs. defective solder points
- Train a classifier AI model to detect good vs. defective solder points
- Test and Evaluate the results - Deploy the model directly to the Raspberry Pi AI camera
⏱️ Timestamps:
0:00 Start
0:28 Create a Project
1:23 Create Classifier Dataset
2:23 Upload Classifier Data
3:38 Evaluation
4:44 Testing
5:44 Build a Static Classifier
6:19 Evaluate Static Classifier
6:40 Export the model and transfer to Raspberry Pi
7:09 Package AI model on Raspberry Pi
10:04 Deploy AI model to Raspberry Pi AI Camera
12:29 See the output on the Raspberry Pi AI Camera
📦 RESOURCES:
- Try Brain Builder for AITRIOS: https://developer.aitrios.sony-semicon.com/en/studio/brain-builder#buy-now
- Read Brain Builder for AITRIOS Get Started Guide: https://developer.aitrios.sony-semicon.com/en/studio/get-started-guide?version=2024-12-12&progLang=
- Develop for Raspberry Pi AI Camera: https://developer.aitrios.sony-semicon.com/en/raspberrypi-ai-camera
Keywords: Raspberry Pi AI camera, AI Classifier model, defect detection, no-code AI, Brain Builder for AITRIOS, Raspberry Pi projects, edge computing, AITRIOS, Local Studio
#aiclassification #RaspberryPi #AICamera #AImodel #AItraining #VisionAI #EdgeAI #NoCodeAITraining, #AITRIOS, #LocalStudio