Рет қаралды 893
Art Stout, Director of Product Management at Teledyne FLIR, discusses how the rapid advances in AI (deep learning) techniques for digital vision-based perception and computational imaging for image quality gains has converged with the rapid advances in mobile processors and device support that brings very large compute power to the edge.
This convergence is creating opportunities for electro optical systems to become intelligent at the edge and eliminate issues with latency, compression artifacts, datalink bandwidth, thermal management, and system complexity.
We describe the state of the art in embedded processors and the integration of Teledyne FLIR’s Prism™ thermal and multispectral image signal processing and object detector and tracking libraries on to today’s most widely deployed embedded platforms.
💻Meet the Prism Digital Ecosystem: www.flir.com/oem/prism-ai-isp/
📑Download Whitepaper: www.flir.com/discover/cores-c...
🔹CHAPTERS🔹
0:00 - Intro
0:15 - Challenges and Solutions
4:21 - Teledyne FLIR Digital Products Ecosystem
6:07 - Evolution of CNNs & Introduction to Pelee
7:14 - Pelee vs. YOLO (You Only Look Once) Networks
8:51 - Backbone Resources
9:07 - Pelee Backbone-based Model Performance
9:39 - Prism Software and Supported Processors
10:23 - Rapid Development of Embedded Processors
11:20 - QCS 8550 Processor Cores
11:46 - Distibuted Compute
12:52 - Signal Processing Flow
13:32 - Annotated Thermal and RGB Datasets
14:28 - Super Resolution & Denoise | Prism ISP
15:01 - Atmospheric Turbulence Mitigation | Prism ISP
15:08 - Electronic Stablization | Prism ISP
15:16 - Local Contrast Enhancement | Prism ISP
15:27 - Automotive Autonomy & AEB (Automatic Emergency Braking) | Prism AI
15:45 - Air to Ground Surveillance for Payloads and Gimbals | Prism AI
15:59 - Counter UAS (Unmanned Aerial Systems) | Prism AI
16:21 - Ground ISR (Intelligence, Surveillance and Reconnaissance) | Prism AI
17:21 - Super Resolution Overview & Impact on MTF
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