SPRADB4 june   2023 AM69A , TDA4VH-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2AM69 Processor
  6. 3Edge AI Use Cases on AM69A
    1. 3.1 AI Box
    2. 3.2 Machine Vision
    3. 3.3 Multi-Camera AI
    4. 3.4 Other Use Cases
  7. 4Software Tools and Support
  8. 5Conclusion
  9. 6References

Other Use Cases

Other edge AI use cases, for which the AM69 processor is designed, include the followings:

  • Smart shopping cart is an emerging end equipment for enhanced shopping experiences. Multiple cameras are mounted on the shopping cart to automatically detect the items placed in the cart, read barcodes on them, understand any activity in the cart afterward, calculate order totals, and allow consumers to pay for groceries, bypassing long checkout lines. In a barcode reader, deep learning networks are used to locate barcodes and filter damaged or poorly captured barcodes to improve the barcode read rate. Additional cameras are mounted for localization, for example, using AprilTags printed on the ground or ceiling. With the localization of a shopping cart, a more personalized shopping experience can be provided by identifying the locations of items on the shopping list and also recommending new products to customers.
  • Functional safe 3D perception provides advanced assistance to machine operators for preventing collision and protecting nearby workers and pedestrians. Multiple cameras are mounted around vehicles and mobile machines such as the ones used for construction, agriculture, and mining. Next AI based 3D perception with functional safety is enabled. When combined with localization and navigation, the technology is enabling mobile machines and cobots to operate fully autonomously yet co-exist alongside humans and properties increasing the task efficiency.
  • Smart agriculture and farming are also emerging applications of edge AI. In smart agriculture, the cameras mounted on tractors, robots, and drones maximize the efficiency of planting, fertilizing, and harvesting of the crops with the help of edge analytics. Similarly, the edge AI system analyzes multiple video data to improve farming operations and assess how farming practice impacts productivity.

Although these use cases fall into the multi-camera AI, these use cases are distinguished from the use cases in Section 3.3 in the sense that all the cameras are not deployed for the same purpose. For example, in a smart shopping cart, one camera is used for barcode reading and other cameras are for detection and localization, for which various AI and vision processes are running simultaneously. The AM69 processor is more effective in such use cases thanks tot he heterogeneous architecture.