Overview of the my Updates
The architecture of the ImpactNet
- Focusing on MobileNet
- And Masking of Soiling Using Basic Image Processing Techniques instead of MFCNN
Edge Computing-Models Overview
- Ran Resnet on CPU, GPU and pi
- Ran MobileNet on CPU and GPU
- Benchmarked all results
- To Showcase why MobileNet is the best
| Type of Model | Device | Time Taken for Inferencems | Time Taken for PreProcessing -ms | Total Time ms |
|---|---|---|---|---|
| ResNet-50 | CPU | 119.603 | 1.639 | 121.289 |
| Resnet-50 | GPU | 9.84 | 1.624 | 11.45 |
| MobileNet | CPU | 43.9 | 1.646 | 45.549 |
| MobileNet | GPU | 3.75 | 1.58 | 5.33 |
| ResNet | Pi | 2.26 | 0.774 | 3.03 |
Using FPGAs
- Go behind a much more comprehensive edge computing-based project
- Initial results of running image processing algorithms
- Problems being faced by FPGA
- ARM+PL side
- PL side stopped working
- Looking into new alternatives like Intel Devcloud
Edge TPU-Coral Board by Google
- It is Google's ASIC board which uses TPU
- Utilises quantisation of models to optimise for the edge
- Ran MobileNet and ResNet using edgeTPU
- Results:
| Name of the Model | Total Inference Time-ms | For PreProcessing-ms | Total Time-ms |
|---|---|---|---|
| ResNet-50 | 0.537 | 0.277 | 0.914 |
| MobileNet |
Contents of the paper
- Introduction
- Previous Work
- Power Loss Estimation
- Economic Solutions to monitor a panel
- Hotspot Formation and its effects
- Data
- Deep Learning
- Models Used
- Edge Computing
- Use cases and Advantages
- Edge Devices on Solar Farms
- Pretrained Models for the Edge
- MobileNet
- Resnet
Ideal Timeline of the Project
1- Finish Writing the Paper-by Dec end-Jan first week
2-Masking
3- Editing?
4- FPGA Part?
Resync-Work Updates
- Built models for daily, hourly, weekly predictions
- Built Models for hourly and 15 min data
- Found LSTM models to be performing the best
- Trying to understand how the model learns-attention applied-did it with FNN
- Transformer based architecture for energy-based system-Could this be my work ahead?
Other Updates
- Google DevFest Bandung, Indonesia
- Instructing a course for Udacity and Intel- AI on the edge-Link
