in-lite has introduced a new app-based enhancement called in-lite Smart AI. This innovation represents a significant step forward in the realm of residential exterior illumination as it leverages a trifecta of modern technologies.
This innovation integrates artificial intelligence, augmented reality, and LiDAR to fundamentally alter how users interact with their outdoor lighting systems. The core functionality revolves around the app’s ability to scan a yard using a smartphone camera, after which it autonomously recognizes both the physical fixtures and the surrounding environmental features.— from patios and decks to garden beds. Subsequently, the in-lite Smart AI system assigns logical names to each light and organizes them into groups that mirror the actual spatial layout of the property. This eliminates the previously tedious and error-prone process of manually labelling each unit and creating custom groups.
Image Credit: in-lite
What Makes This Trend Stand Out
- AI-powered Home Mapping
- Spatially aware AI systems can reduce setup friction for connected home products by automatically recognizing fixtures, rooms, zones, and environmental context.
- Augmented Reality Lighting Control
- AR-based interfaces are making exterior lighting management more intuitive by linking digital controls directly to real-world property layouts.
- Lidar-enabled Smart Spaces
- Consumer devices with LiDAR capabilities are expanding opportunities for precise home automation, spatial personalization, and context-aware product configuration.
Sectors Adopting This
- Smart Home Technology
- Automated device identification and grouping can create more seamless connected home ecosystems with lower barriers to everyday consumer adoption.
- Landscape Design
- Digitally mapped lighting systems can support more adaptive outdoor environments where design, ambiance, and functionality respond to property-specific layouts.
- Residential Lighting
- AI-enhanced configuration tools are reshaping lighting installation by replacing manual setup processes with faster, more accurate app-guided experiences.
