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“We are actively trying to diversify where we supply from,” Hurlston said. “Not necessarily because we share some of the same geopolitical concerns with the US government, but more for diversity of supply and creating alternatives for our customers.”
He said that most of Synaptics’ supply is coming from Taiwan but that the company is looking to move into India, Vietnam and other geographies to create a diversity of supply in case there’s some problem with China or other countries.
When asked if Synaptics could start chip manufacturing in India, Hurlston said there is no such immediate plan. The company currently outsources most of its requirements from Taiwan and would in the future look at India to partner with companies on assembly.
Speaking of the partnership with embedUR systems, Hurlston said that the partnership will focus on developing solutions across areas including smart home devices, manufacturing processes, medical monitoring, and automobile driver assistance systems.
He added that by combining Synaptics’ multi-TOPS Neural Processing Units (NPUs) and embedUR’s work in edge AI applications, the companies aim to deliver scalable, efficient, and affordable solutions tailored to India’s diverse needs. The applications being developed through this collaboration include image segmentation that will allow semantic segmentation of objects and people enabling advanced vision applications and personalized services, enhancing how devices interact with their environments.
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Further, it will also look into low-latency facial identification to provide secure access to appliances and physical assets, ensuring user safety and privacy. It will also help with dynamic pose estimation wherein real-time motion analysis will improve the interaction between users and appliances, allowing devices to respond intelligently to user behavior.”The biggest reason seniors get hospitalised is not because they have a disease, it’s because they fall,” Rajesh Subramaniam, founder and CEO, embedUR systems said. “So pose detection becomes extremely critical. Now pose detection is something that can be used to detect if the child is sitting in the (car) seat or an elder is falling. And the decision can be made instantaneously so that somebody can interact and help out. Today, that latency, the speed at which the decision making is done, is not good enough to prevent it.”
Subramaniam added that the company was also working on a technology called Invisible Eye with Synaptics, where one can’t see the person but only the outline of the person. Hence, there are no privacy concerns but it is clear enough for pose detection to be done without the elderly person feeling like they’re being watched on camera constantly.
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