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Atlantik Elektronik is an authorized Qualcomm Technologies distributor and solution provider for the European market.
The EMASS ECS-DoT Low-Power AI SoC Development Kit is an evaluation and prototyping platform for the rapid development and validation of compact Edge-AI applications with the application-ready, ultra-low-power Edge-AI ECS-DoT SoC.
As a dedicated evaluation platform for the ECS-DoT SoC with interfaces for cameras, microphones, and other sensors, the development kit enables developers to evaluate and validate local audio, vision, and sensor-processing workloads for multi-sensor application development before integrating the ECS-DoT into a product-specific design.
The EMASS ECS-DoT is designed to bring intelligence directly to the sensor edge by processing audio, vision, and sensor-fusion workloads locally with reduced cloud dependency, communication latency, and transmission of sensitive sensor data.
With the Dev Kit and the available EMASS AI Toolkit, developers can rely on a comprehensive hardware and software environment for the porting and optimization of application-specific models for the integrated deep-learning accelerators.
More information about the EMASS ECS-DoT Low Power AI SoC Development Kit is available in the ATE-Store.
For questions and consultation regarding the evaluation and integration of ultra-low-power Edge-AI platforms for application-specific projects, contact our FAE-Team.
What is the purpose of the ECS-DoT Development Kit?
The Development Kit provides a hardware and software platform for prototyping and validating audio, vision, and sensor-processing applications before integrating the ECS-DoT SoC into a product-specific design.
What makes the ECS-DoT suitable for ultra-low-power Edge-AI applications?
The SoC combines a 32-bit RISC-V control core, dual deep-learning accelerators, compressed-model support, and AI inference at around 5 mW for low-latency, always-on processing.
How does the EMASS AI Toolkit support application development?
The toolkit supports the porting, optimization, and validation of application-specific AI models for the ECS-DoT deep-learning accelerators.