AI Solution for Industrial Sensor Endpoints - Multi-core SoC with FPGA and end-to-end AI software toolkit - SensiML Analytics Toolkit + QuickLogic’s Merced HDK Enable Fast AI Endpoint Solution Development. A Complete End-to-End HW and SW Solution for Time Series Sensors.

Learn: Implementing intelligent IoT devices requires sensor data collection, analysis, and AI

By Nicolette Emmino On Jun 25, 2019

QuickLogic Corporation, a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, will be presenting and demonstrating at the Sensors Expo and Conference, providing attendees with an opportunity to learn about actionable steps for implementing intelligent IoT devices.

Presentation
Who: Sam Massih, Director Product Management
When: Wednesday, June 26 at 3:30 p.m.
What: AI at the Endpoint Device

This presentation will outline how implementing intelligent IoT devices requires sensor data collection, analysis, and AI to determine actionable steps. Most applications today send sensor data to the cloud for processing and abstraction. However, this approach stresses the system’s bandwidth and power supply, adds latency and reduces security. Implementing AI at the endpoint devices solves these system challenges. A complete AI Endpoint solution should consider data analytics, model building, and hardware implementation to deliver a low power, scalable solution. This session teaches attendees how to build intelligent endpoints quickly and easily from start to finish, optimized for low power at multiple levels and with significant time to market gains.

Booth Demonstration
When: Wednesday, June 26, 10am – 6pm and Thursday, June 27, 10am – 4pm
Where: Booth number 526
What: QuickLogic will be demonstrating the use of its endpoint AI toolkit for developing industrial predictive maintenance smart sensors. The demo will show the end-to-end implementation workflow including the critical data collection and labeling phase through endpoint model testing on the device.

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