
Edge AI & Test Instruments
Heterogeneous-computing oHFM edge modules with FPGA+ARM architecture provide high energy-efficiency hardware for edge AI inference, smart instruments and industrial IoT gateways.
Typical Application Scenarios
Edge AI Inference Acceleration
Deploy object detection, speech recognition, anomaly detection and other AI models at the edge; FPGA dynamic reconfigurability supports switching models per scenario with 5-10x better energy efficiency than GPUs.
Smart Instrument Signal Analysis
Signal processing frontend for oscilloscopes, spectrum analyzers, network analyzers and other smart instruments; FPGA performs real-time FFT, filtering and protocol parsing with support for custom measurement algorithms.
Industrial IoT Edge Gateway
Multi-protocol industrial fieldbus (EtherCAT/PROFINET/TSN) conversion and edge computing gateway supporting real-time acquisition and local analysis of thousands of I/O points.
Pain Points of Traditional Solutions
GPU solutions have poor energy efficiency, high edge deployment cost
AI model updates require frequent hardware replacement, poor flexibility
Industrial fieldbus protocols are numerous and complex, heavy adaptation workload
Real-time requirements are high; CPU software solutions cannot guarantee deterministic latency
oHFM Standardized Solution
Customer Value
Start Your oHFM Standardized Product Development
Standardized modules plus flexible software-defined design let you focus on core algorithms and product innovation without reinventing the wheel.