Given real-world scenarios to build a queuing system, I use the knowledge of hardware specifications to identify which hardware types work best, and then test the application using the Intel® DevCloud.
- Proposed a possible hardware solution
- Built out the person detection application and tested its performance on the DevCloud using multiple hardware types
- Compared the performance to see which hardware performed best
- Revised the primal proposal based on the test results
Three different scenarios that depict real-world problems based on different sectors where edge devices are typically deployed.
Scenario 1: Manufacturing Sector - manufacturing
Scenario 2: Retail Sector - retail
Scenario 3: Transportation Sector - transportation
- Step 1: Create the Python Script
- Step 2: Create the Job Submission Script
- Step 3: Manufacturing Scenario
- Step 4: Retail Scenario
- Step 5: Transportation Scenario
- OpenCV - Open Source Computer Vision Library
- OpenVINO - Intel® Distribution of OpenVINO™ Toolkit
- DevCloud - Intel® DevCloud - Intel® Developer Zone
- Udacity - Intel® Edge AI for IoT Developers
- Eleftheria Chatzidaki