Case Study: How DisplayRide Scales Vehicle Intelligence with ALPR+
Powering Real-Time Road Intelligence for the Gig Economy
Overview
DisplayRide builds AI-powered platforms that deliver safety, accountability, and automation across the mobile gig economy. Their technology supports rideshare and delivery fleets, driving schools, NEMTs, and rental vehicles, while also powering new AI agents for public safety, insurance, and repossession.
At the heart of this ecosystem is vehicle intelligence: recognizing license plates and vehicle attributes in millions of real-time road images. To do this reliably and at scale, DisplayRide turned to Sighthound ALPR+.
The Challenge
DisplayRide’s Gig Monitoring Platform helps drivers detect safety issues, de-escalate them in real time, and ensure every event is credibly documented. With thousands of deployments across the U.S., the platform addresses a multi-billion-dollar problem for drivers, platforms, and insurers.
Key Use Cases for Vehicle Intelligence
Identifying vehicles in hit-and-run incidents for insurance and driver protection
Supporting public Amber and Orange alerts
Locating vehicles flagged for repossession
Detecting violations of insurance policy terms
All of these applications feed into RoadDataAI, DisplayRide’s road intelligence platform.
Infographic showing four ALPR+ use cases for DisplayRide: hit-and-run detection, Amber/Orange alerts, insurance violations, and vehicle repossession.
Challenges with Existing ALPR Systems
Before ALPR+, DisplayRide faced major roadblocks:
Missed plates and misreads disrupted workflows
False positives from billboards and signage wasted bandwidth
Manual reviews slowed down automation
Bandwidth costs mounted with irrelevant uploads
Limited flexibility in diverse vehicle setups
To achieve scale, DisplayRide needed fast, reliable, low-maintenance license plate recognition, the foundation for both safety and accountability across its product suite.
The Solution
DisplayRide integrated Sighthound ALPR+ via API into both its Gig Monitoring and RoadDataAI platforms. Integration was simple, and performance gains were immediate.
“Quick & accurate identification of number plates and vehicle profiles is vital to our solution being an industry leader.”
- Abdul Kasim, Co-Founder & CEO, DisplayRide Inc.
With ALPR+, DisplayRide gained:
Automatic detection of plates and vehicle profiles in real time
Clean, structured data feeding downstream AI agents
Pattern recognition and policy enforcement at scale
Minimal false positives, even in challenging road conditions
Diagram showing how Sighthound ALPR+ integrates into DisplayRide’s platform: from dashcam input to RoadDataAI and AI agents like PAD.
Beyond the technology itself, the DisplayRide team valued direct collaboration with Sighthound’s engineers.
“The efficacy of the solution and the simplicity of leveraging it made a big difference,” Abdul shared.
“The opportunity to work directly with the tech team has also been a plus,” he added.
The Impact
Since adopting Sighthound ALPR+, DisplayRide has seen:
Faster vehicle identification in real-world driving conditions
Reduced manual intervention and false detection filtering
More efficient bandwidth usage by minimizing irrelevant uploads
Higher-quality training data for AI models in both PAD and RoadDataAI
These gains directly support DisplayRide’s mission: helping the gig economy operate more safely and efficiently, while delivering road intelligence tools that were previously unavailable.
“Sighthound has been a great partner as we explore new value-added solutions in a variety of new markets.”
What’s Next
Together, DisplayRide and Sighthound are refining edge-side filtering to cut out non-vehicle false reads (like signage or billboards) before they ever hit the cloud, further reducing storage costs and improving system efficiency.
And the horizon is big:
“We plan to expand ALPR+ across more vehicles, sites, and use cases. We’re the #1 solution in the gig economy, which is several million vehicles in the U.S. alone.”
About DisplayRide
DisplayRide builds AI-powered safety and accountability platforms for rideshare, delivery, and mobility providers. Rated the #1 solution for rideshare safety two years in a row, DisplayRide supports thousands of customers across the U.S.
Their flagship system, RoadDataAI, is one of the world’s largest road intelligence platforms, enabling AI agents to solve complex problems in public safety, insurance, and transportation.
For more info, visit: www.displayride.com/
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