According to Panasonic’s website, the Fujisawa Smart Town project is a joint venture with Fujisawa Sustainable Smart Town and various technology partners aimed at creating sustainable communities with IoT-integrated infrastructure and homes.
As per BusinessWire, the key features of Panasonic HomeX systems are deployed in Fujisawa Smart Town, including an Autonomous Control System, HEMS, Smart Tap, Smart Lock, AC Control, and Disaster Notification capabilities.
Panasonic’s Fujisawa Smart Town Project includes:
- The project was launched in collaboration with Fujisawa city and various tech partners to create a model sustainable smart city community.
- Over 70 homes are equipped with Panasonic’s HomeX system, seamlessly integrating IoT sensors, home appliances, energy equipment, and AI control software.
- The Autonomous Control System is one of the key features that uses sensors to detect human occupancy, temperature, humidity, air quality, and natural light. The AI can optimally control appliances such as air conditioners, lighting, and windows for comfort and energy savings.
- The Home Energy Management System monitors energy consumption by appliances and shifts usage to off-peak times when electricity rates are lower to reduce costs.
- The Smart Tap is a faucet dispensing filtered water while monitoring usage to analyze and detect leaks, encouraging conservation.
- The Smart Lock, typically used for the front door, enables smartphone-based access control and entry monitoring using the HomeX app.
- Integrated control of air conditioner units from anywhere using the app, with self-reporting operational units that can detect issues requiring maintenance.
- Disaster Notification, such as earthquakes or other disasters, immediately notifies residents via app alerts and phone calls through HomeX.
According to Hitachi’s Lumada platform, IoT connectivity and machine learning are integrated into various home systems within a centralized smart home ecosystem, controlled through a smartphone app.
As per Hitachi’s website, machine learning algorithms use Lumada to optimize energy usage for heating and cooling based on household occupancy patterns and habits, resulting in both comfort and savings.
According to a case study from Hitachi Review, real-time data from motion sensors, cameras, and appliances is combined and utilized by Lumada to analyze and reduce energy waste, tailoring it to the home environment to match residents’ lifestyles.
Lumada also incorporates health monitoring through sensors to track indicators such as sleep patterns, activity levels, weight, and vital signs, enabling doctors and residents to manage health issues.
An EBN article details how Lumada integrates security systems, home appliances, lighting, and entertainment systems into a unified IoT ecosystem with single-app control, voice assistants, and AI-driven automation.
Additional details on how Hitachi’s Lumada platform enables a comprehensive smart home IoT ecosystem:
Home Automation: Lumada integrates control of lighting, windows, blinds, locks, appliances, and security systems into a centralized interface accessible via voice assistants or the Lumada Home app, allowing for home automation rules and schedules to be optimized for preferences.
Multi-Device Connectivity: The platform supports connectivity and interoperability between thousands of devices via multiple protocols such as WiFi, Bluetooth, and Zigbee, enabling seamless communication between appliances, sensors, and controllers.
Predictive Maintenance: Lumada monitors data usage from appliances and analyzes performance patterns, predicting potential issues before failure and allowing for preventative maintenance.
Energy Management: The home provides granular visibility into energy usage through meters and sensors. Lumada leverages AI to analyze trends and identify waste consumption, supporting flexible load management during off-peak times.
Smart Safety: The platform integrates cameras, sensors, alarms, and anomaly detection features to enhance home security. Features such as motion detection, facial recognition, and suspicious sound detection assist in detecting threats.
Lifestyle Insights: Sensor data is analyzed with user permission to provide useful insights on aspects such as sleep quality and activity levels, empowering healthier living.