Technology

NeuroSense, Edge Intelligence to your product

Custom Algorithm Development Process

Edge AI Algorithm Development Flow
Custom Algorithm Development Process
Machine Learning Process On System Chip
Wireless Sensor Network Design

1.Understanding Customer Data Processing Demand

“Can I develop a wearable sensor that recognizes the cow’s fertility?”

“Can I analyze the fault data of our motor and develop a pre-diagnosis sensor?”

2. Customer Data Collection

  • Data Gathering Tool
  • Data Labeling Tool

3. Data Analysis and Classification Algorithm Development

  • Data processing
  • Feature generation and selection
  • Training / Simulation
  • Neuron array output

4. Porting Custom Hardware

DATA → Gathering & Labeling → { [Sensor/ Cloud Application : “Efficient Toolchain Optimized for Edge AI Devices”] Machine Learning → Intelligence pack → } Bin.SW - Firmware → HW Flash Data gathering phone application Edge Embedded optimized python-based ML framework Firmware development environment
DATA → Gathering & Labeling(Data gathering phone application) → { [Sensor/ Cloud Application : “Efficient Toolchain Optimized for Edge AI Devices”] Machine Learning → Intelligence pack(Edge Embedded optimized python-based ML framework) → } Bin.SW - Firmware → HW Flash(Firmware development environment)