Real-time lathe vibration sensor monitoring dashboard

R&D Products

High-Frequency Data Streaming, Visualization, and Cross-Platform Deployment

We build end-to-end software for industrial sensor projects, connecting hardware to real-time dashboards and apps. Our work covers live data streaming, visualization, headless Linux deployment, and cross-platform apps. Systems handle 16,000+ data points per second with zero data loss, and are stress-tested for stability under sustained high-frequency load.

Tech Stack

  • Socket.io · Node.js · Canvas API · MongoDB
  • GPIO · Headless Linux · Stress Testing
  • React Native (Android) · Electron Desktop Apps

Real-time data streaming and visualization for industrial vibration sensors

Real-Time Data Streaming & Visualization

  • Socket.io streaming interface for low-latency transfer of high-frequency industrial sensor data
  • Custom Canvas API charts that render 16,000+ data points per second with no dropped frames
  • Node.js real-time server handling 10+ concurrent GPIO sensor channels
  • Zero-loss high-frequency data logging to local MongoDB storage
  • Stable deployment on headless Linux, running fully without a GUI

Robotic Arm Sensor Integration

  • Real-time robotic arm sensor capture with multi-axis motion tracking
  • GPIO channel management for concurrent inputs across multiple joints
  • Stress testing to verify stability and performance limits under sustained high-frequency writes
  • Worked with mechanical engineers to diagnose and stabilize systems under high temperature and high CPU load
  • Continuous monitoring with anomaly detection thresholds and warning logs
Robotic arm sensor integration with multi-axis motion capture
Electromagnetic wave sensor system with oscilloscope-style waveform display

Electromagnetic Wave Sensor System

  • Real-time capture and processing of electromagnetic wave signals
  • Live waveform rendering with Canvas API: oscilloscope-style display with adjustable time and amplitude scales
  • Socket.io streams data to multiple client dashboards for simultaneous remote monitoring
  • Continuous raw signal archiving to MongoDB for post-analysis, regression testing, and reporting

AI Data Analysis & Cross-Platform Apps

  • AI-driven analysis pipeline for pattern recognition and anomaly detection on historical sensor datasets
  • Automated statistical reports with trend charts and threshold alerts
  • React Native Android app for real-time remote sensor monitoring and control
  • Electron desktop app giving engineers a unified dashboard on Windows and macOS
AI-powered sensor data analysis with trend charts and anomaly alerts