Webinar Series: 'Why Syntiant'?
(Smart Home Security)

About the Webinar

  • Are non-AI sensors creating a high rate of false detections?

  • Is excessive power consumption causing high budget costs?

  • Do space constraints limit design choices and implementations?

 

Today’s machine learning approaches are enabling significantly higher accuracy for smart home security applications where safety and privacy are paramount, like image and sound classification, object and person detection, condition-based monitoring, motion tracking and occupancy monitoring, natural language processing and medical data analytics. However, deployment of cloud-based deep neural networks often requires huge amounts of processing, memory and power consumption, which also are vulnerable to data breaches and higher latency.

 

This webinar will focus on how the deployment of Syntiant® ultra-low-power Neural Decision Processors™ (NDP) make smart home security devices and detection systems (ie: video doorbells, gunshot, glass break, occupancy, tamper, fire and smoke alert monitoring) even more powerful by sensing, analyzing and autonomously making mission-critical and time-sensitive decisions faster, more reliably and with greater privacy and nominal power consumption at the edge of the network.

Dave Garrett

Speaker:

Dave Garrett

Dave Garrett, Ph.D. is Syntiant Corp.'s chief architect. He is a technical expert in semiconductor design, focusing on digital signal processing, VLSI architecture, and chip design flows. Prior to Syntiant, he held the role of associate technical director at the Broadcom office of the CTO and is recognized as a Distinguished Engineer within the company. He was responsible for the transmit beamforming (TxBF) architectures in both the client and router side of Broadcom's 802.11ac/ax chipsets, shipping in more than a billion devices. He is an IEEE Fellow, holds 95 granted US patents, and is the previous General Chair of the International Symposium on Low Power Electronics and Design (ISLPED).

Previously, Dr. Garrett was at Bell Labs Wireless Research Division and later served as Director of Engineering, R&D Systems, at Beceem Communications, which was later acquired by Broadcom. Dr. Garrett received his Ph.D. from the University of Virginia, Charlottesville.