SPRADC9 july   2023 AM62A3 , AM62A7

1.   1
2.   Abstract
3.   Trademarks
4. 1Introduction
   1. 1.1 Defect Detection Demo Summary
   2. 1.2 AM62A Processor
   3. 1.3 Defect Detection Systems
   4. 1.4 Conventional Machine Vision vs Deep Learning
5. 2Data Set Preparation
   1. 2.1 Test Samples
   2. 2.2 Data Collection
   3. 2.3 Data Annotation
   4. 2.4 Data Augmentation
6. 3Model Selection and Training
   1. 3.1 Model Selection
   2. 3.2 Model Training and Compilation
7. 4Application Development
   1. 4.1 System Flow
   2. 4.2 Object Tracker
   3. 4.3 Dashboard and Bounding Boxes Drawing
   4. 4.4 Physical Demo Setup
8. 5Performance Analysis
   1. 5.1 System Accuracy
   2. 5.2 Frame Rate
   3. 5.3 Cores Utilization
   4. 5.4 Power Consumption
9. 6Summary
10. 7References