Research Paper Reads - Edge Analytics

Microsoft has made a lot of progress on edge analytics. Sighted few papers which provide good pointers on case studies, implementation examples.

Paper #1 - Demo: Video Analytics - Killer App for Edge Computing
Key Notes
Microsoft Video Analytics Stack

• Combination of Edge + Cloud Analytics
• Lite and Heavier version of models
• Hybrid approach

Pipeline Steps

• Decoder
• Background subtractor
• Deep neural network

Performance Challenges

• Edge device is not overloaded
• Edge device used for cheap filtering
• Data sent between the edge and the cloud does not overload the network

Cloud Features

• Efficient cross-camera analytics
• Querying stored videos

Paper #2 - Traffic Video Analytics 
Key Notes

• Ground Truth - under-counts, over-counts
• Ground truths were obtained using extensive labeling
• Line-counter is that it captures the “state transition” of the lines
• State of the line changes from unoccupied to occupied, and then back to unoccupied, before it increases the count for said line

Paper #3 - The Emerging Landscape of Edge-Computing.
Key Notes

• Edge Computing - tolerate cloud outages and the scarcity of network bandwidth
• This slide on real-world deployments is very impressive

• Existing edge applications often consist of an ensemble of custom and off-the-shelf containers
• Use Case - Cracks can cause the wheel to break and derail the entire train
• Oil - ExxonMobile continuously monitors its multi-million dollar oil rigs
• Network bandwidth and reliability drive the use of edge computing
• Autonomous Edge devices

Visor: Privacy-Preserving Video Analytics as a Cloud Service

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future

Directions, and Applications

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Deep Learning and Machine Vision for Food Processing: A Survey

Happy Learning!!!