Join our daily newsletter At The Bell to receive exclusive market insights
Nanoveu (ASX:NVU) has announced its participation in a program testing whether or not its AI-capable ECS-DoT microchip tech can extend drone flight time.
In layman’s terms: Nanoveu wants to whack its microchip into a small RC drone, and, given that its ECS-DoT chips are low-power, the thinking goes that any drone utilising the microchip will stay airborne for longer, given that the chips draw less juice from the drone’s battery.
There is, too, scope to assess what AI capabilities could be leveraged by drone software, but for now, the flight time aspect remains the key focus.
Still, the ability of the chip to operate on low power while also allowing complex tasks to be performed by the drone (or its software) will also be assessed.
Nanoveu wants to know how its tech could be used in infrastructure inspections and environmental sensing; its subsidiary EMASS Pte Ltd will be carrying out the testing.
“This approach ensures we ground our findings in measurable real-world outcomes … we’re taking ECS-DoT from the lab to the skies where we can demonstrate how efficiently embedded AI can transform UAV performance,” EMASS founder Dr. Mohamed M. Sabry Aly said.
The company’s chief exec for its microchip division, Mark Goranson, was particularly excited about the energy use implications.
“ECS-DoT represents a major leap forward in energy- efficient AI processing at the edge. Its energy efficiency and compact footprint make it ideal for drones and wearables, health sensors and AR/VR hardware wherever power is a limiting factor,” Goranson added.
“This testing program is intended to help validate the chip’s potential in drone applications as well as showcase its scalability across a wide range of embedded systems from aerospace to agriculture.”
NVU last traded at 3.6cps.
Join the discussion: See what HotCopper users are saying about NVU and be part of the conversations that move the markets.
Disclaimer: HotCopper had a commercial relationship with Nanoveu at the time this article was published.
-1200x645-380x200.jpg)
