SensorCast -Stream Sensor Data

SensorCast -Stream Sensor Data
SensorCast -Stream Sensor Data
Developer: tronics
Category: Tools

SensorCast -Stream Sensor Data Summary

SensorCast -Stream Sensor Data is a mobile Android app in Tools by tronics. Released in Apr 2026 (recently released ago). Store metadata: updated Apr 10, 2026.

Store info: Last updated on Google Play on Apr 10, 2026 .


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Screenshots

App screenshot
App screenshot
App screenshot
App screenshot

App Description

Stream live phone sensor data to ESP32, Arduino via BLE, WSS, USB & WiFi

SensorCast streams real-time sensor data from your Android device to ESP32, Raspberry Pi, Arduino, web dashboards, and any WebSocket client. It transforms your phone into a complete IoT sensor hub for prototyping, research, and data collection — no custom hardware needed.
Unlike other sensor apps that only support WiFi, SensorCast offers dual transport: cloud streaming via WebSocket (Socket.IO) and local streaming via Bluetooth (BLE GATT + Classic SPP). Stream to one subscriber or hundreds simultaneously.
Supported Sensors (40+):

Motion: Accelerometer, Gyroscope, Linear Acceleration, Rotation Vector, Gravity
Position: Magnetometer, Orientation, Game Rotation Vector
Environment: Light, Pressure, Temperature, Humidity, Proximity
Location: GPS (latitude, longitude, altitude, speed, bearing)
Biometric: Heart Rate, Step Counter, Step Detector

Key Features:

WebSocket streaming with JWT authentication and username-based routing
Bluetooth BLE GATT for ESP32 and Classic SPP for HC-05, HC-06
4 output formats: JSON, CSV, Compact, Timestamp
Custom field mapping with configurable decimal precision (0-6)
Google OAuth 2.0 sign-in with AES-256 encrypted credentials
Private and public stream modes with stream key protection
Background foreground service with auto-reconnection
Real-time gauges, data rate monitoring, and subscriber count
Configurable sampling rate from 1 to 200 Hz
Battery monitoring with per-sensor power estimates

Built for IoT developers, researchers, educators, and makers. Use it for rapid IoT prototyping, ML training data collection, remote sensor monitoring, robotics, home automation, or classroom demonstrations.