Metrolla develops wireless LiDAR perception software solutions for edge compute applications across various industries. The platform processes real-time 3D sensor data to deliver high-fidelity analytics for automation, safety, and operational oversight. This technology enables precise object detection, flow monitoring, and situational awareness without requiring complex infrastructure.
Funding
$30K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current traffic data collection methods often lack the granularity to fully understand complex traffic patterns and safety risks in urban environments. Traditional traffic counts may not provide sufficient detail to evaluate the impact of infrastructure changes on pedestrian safety and vehicular incidents.
Solution
Metrolla offers a real-time perception and automation platform that processes sensor data from existing camera and LIDAR infrastructure to provide detailed analytics on traffic patterns and safety risks. The DataBlade technology connects to new or existing sensors, processing data on-site using proprietary software and algorithms. This enables stakeholders to gain insights into events such as jaywalking, near-miss collisions, and wrong-way driving, facilitating data-driven decisions for infrastructure upgrades and safety enhancements. The system can predict potential hazards, track worker safety, and trigger real-time warnings to both drivers and vulnerable road users. Metrolla's software can also connect to web-based sensor feeds, providing a customized dashboard for monitoring, downloading, and analyzing data.
Target Audience
Metrolla's primary customers include city planners, transportation engineers, and safety officials seeking to improve traffic safety and optimize infrastructure investments.
Features
- DataBlade technology integrates with existing camera and LIDAR sensors for real-time data processing.
- On-site processing eliminates the need for extensive network infrastructure.
- Advanced algorithms detect and classify various traffic events, including jaywalking, near-miss collisions, and centerline incursions.
- Predictive analytics identify potential hazards and trigger real-time warnings.
- Customizable dashboards provide data visualization and analysis tools.
- Autocomm automation and communication tooling enables context zones and alerts for customized metrics outputs.
- Plugin architecture allows for easy deployment of custom solutions.
- Persistent design ensures automatic recovery from power outages.
- Automated remediation and notifications alert users to sensor malfunctions.
- V2X integration allows context zones to update Commsignia RSU zones and set predefined RSU messages.