Nanoveu commences benchmark testing for AI chipset as part of EMASS acquisition

Nanoveu (ASX: NVU) has initiated important benchmark testing for the ECS-DOT chipset it is acquiring from semiconductor business Embedded AI Systems (EMASS).

Earlier this week, Singapore-based Nanoveu secured an agreement to acquire EMASS for $5 million worth of its shares, priced at $0.029 each, plus the issue of 83.3 million performance rights that will convert to a pre-determined number of shares upon the achievement of certain milestones.

Taking the proposed acquisition to the next stage, the commencement of testing is an important step in Nanoveu’s strategy to leverage EMASS’s cutting-edge artificial intelligence (AI) semiconductor chip technology along with its own ground-breaking EyeFly3D system.

ECS-DOT evaluation

The benchmarking process will evaluate the ECS-DOT system-on-a-chip (SoC) using the MLPerf Tiny AI benchmarking suite—a widely recognised standard for measuring the performance and power efficiency of AI-driven visual tasks.

The benchmarking results are expected to provide valuable insights to support the proposed integration of ECS-DOT’s ultra-low-power SoC into Nanoveu’s EyeFly3D platform.

Nanoveu managing director and chief executive officer Alfred Chong said the peer comparison results will also demonstrate the competitive edge of EMASS in the rapidly growing SoC market in terms of performance and efficiency.

Growing demand

“As the anticipated demand for our EyeFly3D technology grows, this testing is a critical step in preparing for the integration of EMASS chipsets into devices supporting our EyeFly3D platform,” Mr Chong said.

“It also allows for optimisation of the chipset’s performance for next-generation 3D applications and helps demonstrate the market-leading potential of the ECS-DOT chipset itself.”

“By validating person detection and image classification specifically, EMASS is positioning itself to play a crucial role in meeting the growing demand for powerful and power-efficient SoCs with leading image processing capabilities.”

Reproducible assessments

EMASS will conduct the benchmarking internally, with the aim of providing reproducible, reliable assessments to create a clear picture of how its technology performs in key areas including speed, accuracy and energy efficiency.

Benchmarking is also considered crucial in optimising the full potential of EMASS’s AI capabilities – especially within visual processing, which is relevant for optimised 2D to 3D image processing for the EyeFly3D platform – and will also help define the chip’s potential for emerging markets.

Nanoveu is focused on developing the enhanced platform to unlock new commercial opportunities across a diverse range of industries including medical devices, autonomous driving, education, military, digital signage, retail and marketing.

It is also investigating the potential to use the technology in the valuable fitness tracker, drone and advanced Internet of Things markets.