Real-time drive-thru vehicle tracking
Tracks vehicles as they enter, move through, and exit the drive-thru lane, assigning each car a unique identifier and building a second-by-second transaction timeline.
Hellometer is an AI-powered operations platform for quick-service restaurants, with camera-based drive-thru timing, lobby flow, and loss prevention.
Hellometer is an AI-powered operations platform for quick-service restaurants. Its product set focuses on measuring service flow and operational activity with camera-based systems across the drive-thru, lobby, kitchen, and loss-prevention use cases.
The site presents Hellometer as a measurement and insights tool for restaurant operators who want real-time visibility into wait times, bottlenecks, and security events. It emphasizes live monitoring, historical reporting, and alerts that help teams respond while service is happening rather than after the fact.
Drive-Thru Timer tracks vehicles through each station of the lane, Lobby Timer measures door-to-dine service flow inside the restaurant, and Loss Prevention uses HD video and anomaly detection to surface issues for review. The homepage also references Kitchen Monitoring as part of the broader platform, though the collected source provides fewer details for that product.
The common workflow across the site is camera installation, AI detection, and dashboard reporting. Hellometer repeatedly describes the setup as camera-based, with no buried loops or pressure sensors for drive-thru timing and no manual guest tracking for lobby measurement.
Tracks vehicles as they enter, move through, and exit the drive-thru lane, assigning each car a unique identifier and building a second-by-second transaction timeline.
Shows live dashboards with current wait times, service speeds, bottlenecks, and historical trend reports so managers can compare shifts, dayparts, and longer-term changes.
Covers the entrance, counter, and dining area to measure door-to-dine flow, queue time, order placement, and pickup without manual input.
Uses HD cameras and anomaly detection to flag unusual activity such as register discrepancies, unauthorized access, or policy violations, then attaches video clips for review.
Monitors multiple restaurants from one dashboard, with location comparisons, benchmarking tools, and role-based access for store, district, and corporate teams.
Surfaces alerts through the dashboard and, where described, SMS, email, or mobile notifications when service times exceed targets or activity needs review.
Use Drive-Thru Timer to measure lane performance in real time, identify where service slows down, and compare shifts or dayparts when adjusting staffing or menu flow.
Use Lobby Timer to track door-to-dine timing, watch queue growth, and spot whether delays are happening at the counter, in food handoff, or elsewhere in the guest journey.
Use Loss Prevention to review alerts tied to register activity, access patterns, or other anomalies, then attach video evidence to internal investigations.
Use the platform across several restaurants to compare performance, set organization-wide benchmarks, and roll out process changes after one location proves a better workflow.
Use the site’s alerting and reporting to respond to service slowdowns during busy periods, whether the issue is a backup in the drive-thru lane or rising lobby wait times.
Hellometer uses camera-based detection to measure drive-thru flow, lobby service times, and restaurant activity. The source describes it as working through cameras rather than buried loops or pressure sensors, and the products can send alerts through the dashboard, SMS, email, or mobile notifications depending on the product page.
The source shows the product set is aimed at quick-service restaurant operations. The homepage highlights drive-thru timing, kitchen monitoring, and loss prevention, while separate product pages cover drive-thru lanes, lobby service flow, and HD video monitoring for security and shrink control.
Hellometer's setup is described as camera-based and straightforward, with the homepage saying installation is as easy as putting up a camera. The product pages also note that installation can take hours rather than days for lobby coverage and that there is no road cutting or sensor recalibration for drive-thru timing.
The source does not show published pricing on the pricing page; that page returns a 404 and directs visitors to schedule a demo. Based on the site evidence, pricing appears to be handled through sales contact rather than self-serve checkout.
Yes. The site includes a blog note mentioning an integration with Loop that helps restaurant operators use verified camera footage as evidence for Uber Eats disputes. Beyond that example, the collected source does not list a broader integration catalog.