The power of data analytics
Reflecting from the fire in the Office of Ministry of Transportation This is an industrial-grade smoke detector that sounds very noisy and transmits an “RF-433 MHz alarm” when exposing heavy smoke (e.g., in case of fire). I converted it to a network device using an MQTT-RF bridge, so:1) it can be monitored anywhere, anytime, and … Read moreIntegrating RF smoke sensors into Smart Home
Our Android phone is by default equipped with multiple sensors, e.g., accelerator sensors, magnetic field, photo light detector, noise level sensor, etc. I have an unused LG G4 which I turned into a sensor device. To convert the sensor readings into MQTT message, Sensor Node Pro is used. Telegraf is embedded to the MQTT server … Read moreAndroid sensors to Smart Home
A friend asked me to design a low-powered living body detection system for a rural farm in Indonesia. The constraints are no electricity and limited Internet connectivity. The system is designed in microservices atop Raspbian to ease massive rollout.
As an online shopper, I need to regularly check my mailbox, 5 floors separated from home. It is really annoying to check whether a new delivery arrives. I came out with this mailbox checker solution that should draw low power (less frequent battery replacement, >6 months) and small (portable). To detect mailbox door activity, I … Read moreMailbox checker
There are at least 4 competing IoT connectivity technologies that have already numerous rolled-out products in the market, i.e., RF-433 MHz, WiFi (ESP8266-based devices), Zigbee, and Zwave+. The first two have abundant cheap products, the other two have limited vendor-independent commercial products. I saw a lot of Zigbee & Zwave vendor-locked devices at IoT Expo … Read moreZwave+ vs. WiFi-based IoT devices