Bringing AI inference to the edge for faster, efficient vision systems
This video explains why AI (Artificial Intelligence) inference is increasingly moving from the cloud to the edge and how IDS is enabling this transition with its FPGA‑based deep ocean accelerator. You’ll learn the key benefits of edge AI, including lower latency, reduced bandwidth, improved security, and higher reliability in industrial environments.
The presentation explores the challenges of deploying deep learning on resource‑limited edge devices and demonstrates how efficient networks, pruning, quantisation, and FPGA‑based architectures can overcome these limits. You’ll also discover how IDS enables simple, flexible deployment of CNNs (Convolutional Neural Networks) on IDS NXT cameras using a universal accelerator and a binary linked‑list model format, allowing fast network switching and real‑time adaptation.
Topics covered
- Benefits of moving AI inference from cloud to edge
- Why CNNs require optimisation for edge deployment
- FPGA advantages over CPUs (Central Processing Unit), GPUs (Graphics Processing Unit) for edge AI
- How IDS deep ocean provides a universal, reconfigurable CNN accelerator
- Workflow for converting, pruning and deploying models on IDS NXT
- Dynamic switching of multiple CNNs for real‑time applications
Video timeline
- 00:00 - Edge AI - The next big thing?
- 01:10 - Why AI on the edge?
- 04:22 - Challenges in deploying AI on the edge
- 07:35 - Available options when implementing CNNs on the edge
- 11:02 - Benefits of using FPGA technology for deep learning acceleration
- 13:43 - IDS FPGA implementation strategy
- 17:31 - CNN implementation flow using "deep ocean" accelerator (Step 1 to 3)
- 20:42 - Benefits of using linked list CNN representation
- 22:28 - Advantages of dynamic CNN switching
- 27:31 - "Deep ocean" inference latency and throughput
- 29:25 - "Deep ocean" power efficiency
Who should watch
Ideal for machine vision engineers, AI developers, automation specialists, and system integrators who want to deploy efficient deep learning solutions directly on the edge using IDS NXT cameras.
Watch now to discover how to bring powerful AI inference to the edge.
