Notes from the studio.

Set up AI-powered CCTV using Frigate NVR + Google Coral USB Accelerator to run YOLO object detection locally — detecting people, vehicles, and animals in real time, reducing false alarms by 95%+, with zone-based alerts and license plate recognition for car parks.

Design a multi-stage air purification system for Bangkok homes and condos — comparing G4 pre-filter, activated carbon, HEPA H13, UV-C 253.7nm germicidal lamp, and electrostatic precipitator, with IoT pressure sensor monitoring for automatic filter replacement scheduling.

Use Autodesk Tandem to connect a BIM model with real-time sensor data — building a Digital Twin for Facility Management (FM) that tracks temperature, energy, and equipment status on a live 3D model to improve maintenance efficiency and cut operations costs.

Configure Home Assistant Companion App on iOS/Android via Cloudflare Tunnel for secure remote control without port forwarding or VPN — including WebSocket push notifications, geofencing, and iOS Critical Alerts for emergencies.

Build a Thai-language voice assistant for elderly users using Whisper Thai ASR, WangchanBERTa intent classification, and Rasa NLU — with a LINE LIFF voice interface that requires no additional app installation.

A detailed comparison of PIR, Microwave, and Dual-Technology motion sensors for smart home security — with false alarm reduction principles including pet immunity, temperature compensation, and ML-based anomaly detection for Thailand.

Design HRV and ERV systems for Bangkok condos — comparing HEPA H13 vs H14 filtration media, duct layout, and AQI sensor integration for automated fresh-air ventilation during Bangkok’s high-pollution season.

Install PM2.5 (Sensirion SPS30), CO2 (SCD40), and TVOC (SGP30) sensors in Home Assistant to automate HRV/ERV ventilation and air purifier control — tackling Bangkok AQI and sealed indoor air quality.

Create 360° virtual tours with Matterport and Kuula to present bedrooms designed to Universal Design principles for elderly residents — covering ADA/WHO guidelines, physical safety, low-vision lighting, and Smart Home integration suited to Thai family contexts.

A detailed comparison of Lumion, Enscape, and V-Ray for Revit covering real-time rendering, image quality, render time, learning curve, and pricing — plus a workflow for creating walkthrough animations and 360° virtual tours from BIM models for Thai client presentations.

Leverage MEA/PEA Time-of-Use (TOU) tariffs with smart plugs, smart outlets, and Home Assistant automation to schedule heavy appliances during off-peak hours (22:00–09:00), cutting electricity bills by 20–35% without changing daily routines.

Integrate mattress sensors, smart bedroom automation, and digital CBT-I support to build a sleep optimization system that measures sleep quality, analyses sleep stages, auto-adjusts the environment, and flags behaviours affecting rest in Bangkok’s hot-humid climate.

Applying BIM to prefabricated components and modular structures cuts construction time by 30–50%, reduces waste, and improves on-site assembly accuracy through automated clash detection and shop drawing generation.

Monitor compressor vibration, power consumption anomaly, and filter dirtiness with Home Assistant to predict AC failure 2–4 weeks in advance — reducing emergency repair costs 50–70% in Thai smart homes.

Design Smart Bathrooms for elderly with Universal Design (zero threshold, grab bars, anti-scald valve) plus IoT (radar fall detection, floor heating, automatic night light path) to reduce bathroom accidents 60%.

Use Autodesk Revit Dynamo or ArchiCAD BIMx to automatically extract material quantities (QTO), generate BOQ linked to Thai cost databases, and deliver accurate pre-construction budget estimates 70% faster.

Use Machine Learning (Python sklearn, TensorFlow Lite) on accumulated Home Assistant health data to predict risks — UTI, dehydration, and health state changes — before symptoms appear in Thai elderly.

Use BIM and PVsyst to simulate rooftop Solar PV generation, calculate battery sizing, and model Net Metering with EGAT and Thailand VSPP/SPP regulations for accurate ROI before committing investment.

Design WFH lighting zones with DALI-2 or Zigbee tuning Kelvin and lux by circadian phase (5,000K morning → 2,700K evening) to boost productivity 15–20% and reduce digital eye strain in Bangkok smart homes.

Use Smart Scale, IoT water bottles, AI food recognition fridge cameras, and Home Assistant to track elderly nutrition and hydration — with LINE OA alerts when nutritional risks are detected.

Understand OpenBIM, IFC (ISO 16739), and COBie enabling Revit, ArchiCAD, SketchUp, and Rhino to share data without loss — supporting handover and facility management after construction in Thailand.

Combine Biophilic Design (green walls, living roofs, indoor gardens) with smart energy management and daily carbon footprint tracking to build genuinely sustainable homes with measurable environmental impact.

Design a complete safety system for elderly living alone: Emergency Button, Smart Pill Dispenser, Geofence GPS, smoke/CO detection, and Smart Gas Valve — all connected to LINE OA family alerts.

Combine Revit Structure with ETABS or SAP2000 for structural load and wind analysis to Thai EIT standards, cut structural material costs 8–15%, and eliminate structural-MEP clashes before breaking ground.