Vend

Spatium is a cloud-native smart parking intelligence platform that ingests data from any parking system and connects with detection, guidance, access, and payment hardware to detect losses, optimize occupancy, and boost revenues without rip-and-replace. Hardware-agnostic by design, it integrates in-ground sensors, overhead cameras, LPR, ultrasonic counters, and existing CCTV, normalizing data into a unified occupancy model for accurate space-level visibility. Real-time occupancy data can flow into parking guidance systems, digital signage, mobile apps, and enforcement platforms to guide drivers to available spaces and reduce circling time. It combines LPR data with occupancy events to flag overstays, permit violations, and unpaid sessions while supporting automated enforcement workflows. Its revenue intelligence engine continuously monitors transactions, tariffs, and spaces to identify unpaid sessions, forced exits, tariff misconfigurations, and equipment failures.

ParkingRhino is a full-stack IoT-based smart parking platform designed to address parking challenges in modern cities. It offers real-time monitoring by sensing occupancy and sharing information through visualization dashboards, enabling drivers to search, book, and navigate parking spaces via their smartphones. The platform utilizes AI and machine learning for vision computing, detecting parking availability through CCTV feeds, particularly for open-street parking. Its patent-pending predictive model analyzes historical data and real-world events to forecast future occupancy, assisting businesses in managing pricing and demand. Data analytics seamlessly integrate with existing sensors and parking meters, providing a unified interface for tracking current and past parking data. ParkingRhino's solutions cater to various stakeholders, including businesses aiming to increase revenue and optimize traffic, and drivers seeking nearby parking with real-time guidance.