~/talk

Vision AI at the Edge for Industrial Inspection

on YouTube 26m
Talkat Microsoft Build 2023 · 2023-05-23..05-25· [webxr, embedded-and-hardware]

speakers

name:Amber Branwell
links:none on file
name:Megha Daga
links:none on file
name:Jackie Donoghue
links:none on file

resources

video:https://youtu.be/VJt_BuIlYzo
slides:none on file

summary

Neruala inspection software runs on QCS6490/QCM6490 boards (Windows 11 IoT Enterprise supported) and uses the Qualcomm Neural Processing SDK plus the AI Model Efficiency Toolkit to compress and quantize a 10-class industrial anomaly detector into a INT8 quantized model (DLC runtime). Accuracy stays within a few percent of FP32 while throughput and power improve, delivering sub-millisecond latency on edge hardware with triple ISP, integrated 5G and hardware root of trust.

AI-written summary · about

chapters (11)

  1. 0:00Introduction to edge AI
  2. 1:37Connected intelligent edge
  3. 3:23Qualcomm core pillars
  4. 5:23Unified chipset solutions
  5. 6:42Deployment architectures
  6. 8:43Chipset technology highlights
  7. 12:14Software stack and tools
  8. 15:06Anomaly detection case study
  9. 17:34Development workflow
  10. 20:46Performance results
  11. 23:16Developer resources

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