Future-Proof Industrial Applications
More Accurate Data in Real Time
Unlock Industrial Transformation
Whether monitoring video streams in a factory or a sports arena, actionable information must be received quickly and securely. Sending data to the cloud for processing increases latency, exposes privacy issues, adds cost, and may actually result in actionable information being received too late. With edge computing, you don’t need to store all the data or send it to the cloud to get analyzed. Instead, you can quickly analyze the information that matters and make actionable decisions in real-time. Efficient edge computing reduces the amount of data transfer needed, saving time and money.
Industrial use cases for artificial intelligence include:
- Low light noise reduction in video streams
- Factory automation: inspection for visual defects, manufacturing predictability over time, unsupervised learning models
- Security; examination of scenes for abnormal behavior or unusual traffic patterns
- Video feed storage compression: removal of non-important video frames for archiving efficient
Future industrial systems will process ever larger images from more and more video streams. Processing at the edge will absolutely be required via highly efficient hardware solutions. Adding Expedera Origin™ Deep Learning Accelerator (DLA) to your silicon solution improves system performance without increasing system costs. With Expedera, an edge server can run multiple AI inference models simultaneously or can run a single model for multiple inputs. Additionally, Expedera offers this performance without modifying the trained model ensuring the most accurate results while saving engineering time often spent reoptimizing models.
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