Trails
Trailslight provides an adaptive street lighting system that uses on-device AI sound analysis to detect traffic and weather conditions, automatically adjusting lamp brightness in real time. The system reduces energy consumption by over 50% while remaining fully GDPR-compliant, as all audio is processed locally without recording or transmission. It connects via LoRa 868 MHz radio to a centralized cloud platform for remote supervision and smart city integration.
- Internet of Things
- Clean Technology
- Artificial Intelligence
- Government Technology
- Hardware
- AI Agents
- Data & Analytics
- Defense Tech
- Energy
- Industrial Automation
- Logistics & Supply Chain
- New Materials
- Mobility & Transportation
- Robotics
- Semiconductor
- Software Only
- Telecommunications
- Utilities
Funding
Founders
Founder details are not available yet.
Product
Problem
Public street lighting is often operated at fixed brightness levels regardless of actual road usage, leading to significant energy waste and unnecessary light pollution. Municipalities lack cost-effective, privacy-compliant tools to dynamically adjust lighting based on real-time traffic and environmental conditions, especially across large and dispersed urban infrastructures.
Solution
Trailslight offers an adaptive lighting system that equips each streetlamp with an intelligent edge device capable of analyzing ambient sounds to classify vehicle types, traffic volume, weather events, and noise levels. The system automatically adjusts light intensity in real time according to the UNI 11248 standard, ensuring safety while reducing energy consumption by over 50%. Data is processed locally on the lamp controller via neural networks, so no audio is ever recorded or transmitted, ensuring full GDPR compliance by design. A LoRa 868 MHz radio network connects the devices to a centralized cloud platform, enabling remote supervision, data analytics, and integration with other smart city services.
Target Audience
Primary customers are municipal governments, ESCOs, public lighting utilities, and smart city operators seeking to reduce energy costs and improve urban safety through adaptive infrastructure. The system also serves tunnel and industrial facility managers.
Features
- On-device AI sound classification for vehicle detection (motorcycles, light and heavy vehicles), traffic quantification, and weather event recognition (rain, strong wind)
- Real-time adaptive dimming of streetlights based on traffic presence and density, compliant with UNI 11248 / EN 13201 standards
- Acoustic environmental monitoring with decibel-level measurement for noise pollution mapping and heatmap generation
- Edge processing architecture that classifies sound locally without recording, ensuring GDPR compliance by design
- LoRa 868 MHz wireless connectivity for secure, scalable communication between lamp controllers and central systems
- Centralized Trailscity Platform for data aggregation, real-time control, fault detection, and interoperability with existing smart city infrastructure
- Easy installation on existing LED streetlights with standard ZHAGA and NEMA connectors