Survision LPR Cameras

University of Houston Modernizes Campus Parking with Open-Architecture Technology Ecosystem

LPR-based open architecture access control system helped improving access control operation across campus facilities.

The University of Houston launched one of the most ambitious parking modernization initiatives in higher education, deploying a large-scale, enterprise parking ecosystem across its Main, Downtown, and Sugar Land campuses. In partnership with PSX, Amano McGann, EDC Corporation (AIMS), Parker Technology, and Survision, the university implemented a future-ready parking infrastructure designed to improve operational efficiency, simplify permit management, and deliver a frictionless parking experience for students, staff, faculty, and visitors.

The Challenge

Like many universities, the University of Houston faced growing operational complexity across its parking ecosystem. Traditional parking environments often rely on disconnected systems for access control, permitting, enforcement, payments, and customer support, leading to:

  • Redundant data entry
  • Siloed operational systems
  • Inconsistent reporting
  • Increased administrative workload
  • Limited scalability for future technologies

The university sought a modern solution capable of unifying these workflows without sacrificing flexibility or performance. Rather than adopting a single-vendor “all-in-one” platform, UH pursued a best-in-class approach built on interoperability and open architecture.

Survision LPR  at Houston University

The Solution

PSX delivered a coordinated deployment of 126 lanes of Amano ONE parking equipment across three campuses on an accelerated timeline aligned with the start of the academic year. The deployment integrated multiple technologies into a single connected parking ecosystem, including:

  • Survision LPR cameras
  • Amano ONE PARCS equipment and access readers
  • Pay-in-lane and pay-on-foot stations
  • Parker Technology customer assistance integration
  • Cougar Card integration
  • Scan-to-pay surface lots
  • A custom Amano ONE + AIMS integration for permitting and enforcement workflows

Survision LPR at Houston University

At the center of the deployment, Survision LPR technology enabled automated, credential-less vehicle access across campus parking facilities. By replacing manual verification methods and reducing dependence on physical credentials, the university streamlined entry and exit processes while improving throughput during peak campus traffic periods.

Why Open Architecture Matters

The University of Houston intentionally selected technologies designed for interoperability and long-term adaptability. Amano ONE’s cloud-based, API-driven architecture and AIMS’ flexible integration capabilities allowed the university to combine specialized systems while maintaining centralized operational visibility.

This open-architecture strategy provided UH with:

  • Real-time data synchronization
  • Automated workflows
  • Unified reporting across platforms
  • Improved enforcement accuracy
  • Reduced operational friction
  • Greater flexibility for future integrations and expansion

This deployment also helps the university integrate with additional third-party parking technologies, opening up possibilities for tackling future challenges.

Survision LPR Cameras  at Houston University

The Impact

The completed implementation created a scalable, data-driven parking environment that improves both the parker experience and day-to-day operations. Key benefits included:

  • Frictionless Parking Experience: Survision LPR cameras enable seamless entry and exit, reducing delays and improving convenience for campus users.
  • Improved Operational Efficiency: Automated workflows and integrated systems reduce manual administrative tasks, minimize downtime, and improve traffic flow during high-demand periods.
  • Centralized Data and Reporting: The custom integration between Amano ONE and AIMS eliminated redundant data entry and improved data consistency across parking operations.
  • Future-Ready Scalability: By leveraging open APIs and modular technologies, the university preserved the flexibility to expand and adapt its parking ecosystem over time.

A Model for Modern Campus Mobility

The University of Houston project demonstrates how higher education institutions can modernize parking operations through integrated, best-in-class technologies rather than rigid single-platform systems. Through collaboration between PSX, Amano McGann, EDC Corporation, Parker Technology, and Survision, the university created a parking infrastructure built for scalability, operational visibility, and long-term innovation.

This project is the winner of the TPTA 2026 Parking Technology and Equipment Award. 

About PSX

Since 1969, PSX has provided advanced parking and security system integration for client facilities nationwide. Operating through nine strategic offices in Philadelphia, Pittsburgh, Cleveland, Tampa, Houston, Denver, New Orleans, Detroit and D.C., the company handles complex project implementation and long-term facility management across diverse sectors. 

As Amano McGann's largest and most experienced dealer in North America, PSX delivers complete, turnkey system design and seamless field execution. As a leading U.S.-based manufacturer, Amano McGann specializes in designing and manufacturing premier Parking Access and Revenue Control Systems (PARCS). This partnership allows clients to benefit from streamlined, cloud-based software, alongside integrated mobile payment options and advanced License Plate Recognition (LPR) capabilities.

Website: https://psxgroup.com/

 
 
 
 
 

Common Features

All License Plates

Despite the country or region, even Vanity Plates!

Compact, All included

Lights, protection and connection are integrated into the LPR Cameras

No LPR Server Needed

LPR is performed in the LPR cameras firmware

Free-flow or Triggered

LPR can be triggered by external device or by the license plate itself

AI powered firmware

Neural networks are used to learn from every plate read and increase performance over time

High Vehicle speed

Up to 155 mph (250 km/h)

Short, Fast & Accurate

The shortest distance (from 5ft!) at the highest accurate reading speed (20ms)

One camera per lane

You do not need more than 1 Survision LPR camera to get LPR working

Shared SDK

Software tools for system integration or app building

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