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ECS-DoT:
Ultra-Low-Power Edge AI SoC
for always on intelligence
ECS-DoT: Ultra-Low-Power Edge AI SoC for always on intelligence
The ECS-Dot is an ultra-low-power, application ready SoC that brings intelligence to the Sensor Edge-where size, power and latency matter most. With dual deep learning accelerators and a novel architecture optimized for highly-compressed models, the ECS-DoT enables real-time processing of sensor, voice and vision data in compact, battery-powered devices-without sacrificing performance or accuracy.
Superior Performance, Lower Power, Small Form Factor
Key Highlights
5mW ultra-low-power
Edge AI processing
Dual DL accelerators
delivering 30 GOPs
32-bit RISC-V core with
floating point support
4MB on-chip memory
(2MB SRAM
+ 2MB MRAM)
Built-in decompression
IP (~1.3 bits/weight)
Standard I/O: I²C, I²S, UART, QSPI, CPI, 32 GPIOs
5mm x 5mm QFN package
Competitive Comparison
Compared with leading competitors, ECS-DoT operates up to 93% faster while consuming 90% less energy, all while supporting true multimodal sensor fusion on device
Compared with leading competitors, ECS-DoT operates up to 93% faster while
consuming 90% less energy, all while supporting true multimodal sensor fusion on device
Feature / Metric
EMASS ECS-DoT
Competitor A
Competitor B
Power per Inference
0.1–5 mW
5–100 mW
30–150 mW
Latency
<10 ms
10–15 ms
10–100 ms
Energy per Inference
1–10 µJ
30-150 µJ
100-2,000 µJ
On-Device Memory
Up to 2MB SRAM
+ 2MB MRAM
up to 1MB SRAM
2MB SRAM
with optional 2MB MRAM
Multimodal Sensor Fusion
Yes, milliwatt-scale
Limited
Limited
Always-On Viable?
Yes
No
No
Evaluation Platform
SDK Description
Seamless porting of AI models to the ECS-DoT
Customer AI
EMASS AI Toolkit
Customer AI
Models
Customer
AI Models
EMASS AI Toolkit
AI models optimized
and mapped to the
ECS-DoT
DL Accelerators
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