Automotus utilizes computer vision technology to automate curb management for cities, airports, and fleets, enabling real-time data collection, invoicing, and enforcement. This system reduces congestion and emissions by 16%, decreases double-parking hazards by 73%, and enhances parking turnover by 26%, creating safer and more efficient urban environments.
Funding
$21.8M 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.
BIHLLA+1Founders
Product
Problem
Cities and airports struggle to manage curb space effectively due to increasing commercial vehicle activity, leading to congestion, safety hazards from double-parking, increased emissions, and underutilization of parking resources. Existing policies and technologies are inadequate to handle the rapid growth in e-commerce and delivery services.
Solution
Automotus offers an automated curb management platform that leverages computer vision to monitor and optimize curb usage in real-time. The system uses cameras attached to existing infrastructure to collect data on vehicle types, parking durations, and violations. This data is then used for automated payment and invoicing, targeted enforcement, and comprehensive analytics, enabling cities, airports, and fleets to reduce congestion, improve safety, and increase parking turnover. The platform is designed with privacy in mind, blurring faces and de-identifying data.
Target Audience
The primary target audience includes city governments, airport authorities, and commercial fleet operators seeking to optimize curb space utilization, reduce congestion, and improve safety.
Features
- Computer vision technology for real-time monitoring of curb activity
- Automated license plate recognition (ALPR) for payment and enforcement
- Integration with existing infrastructure, such as streetlight poles
- Multimodal data collection and analytics, broken down by vehicle type (delivery, TNC, bus, passenger, EV, hybrid)
- Automated payment and invoicing system, eliminating the need for apps or meters
- Real-time violation detection and optional automated citation issuance
- Data security measures, including blurring faces, de-identification, and SOC 2 certification
- Edge processing to minimize data transmission and ensure privacy