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Computer Vision Data Collection Module
A tested starting point for computer vision data collection module reduced repeated setup work.
We built a practical Hospitality solution combining edge vision data collection, predictive demand automation, and closed-loop yield logs. The project delivered 15% Waste Reduction and 11% Margin Lift.
Trusted by teams building ambitious products
Global resort group managing 100+ high-volume buffet and banquet outlets requiring live inventory oversight.
Computer Vision Lead + 2 Backend Engineers + IoT Architect embedded within Culinary Operations.
Eliminating over-production waste while protecting guest satisfaction or full-plate visual standards.
A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.
The client’s high-volume catering operations relied on static prep-sheets based on historical occupancy. This disconnected kitchen output from actual consumption speed, resulting in a consistent 18-22% food waste rate in buffet environments.
The biggest issues were yield volatility, margin erosion, and regulatory burden. The team needed a faster, clearer way to manage the work while keeping the right checks in place.
Kitchen staff relied on intermittent visual checks of buffet lines, leading to late reactions.
Continuous per-tray fill level tracking with automated alerts for production slowing.
Prep lists fixed 24 hours in advance based on guest headcounts only.
Automated adjustment of prep volume based on live consumption and arrival speed.
Manual waste bucket weighing, prone to human error and lack of item-level detail.
Precise, item-level waste tracking via vision sensors with automated regulatory reporting.
Processing video streams at the edge to identify tray depletion rates without overloading cloud bandwidth.
Embedded Removal of unnecessary personal data masks guest faces at the camera level, satisfying strict GDPR/SOC2 hospitality privacy standards.
Intelligent Fire tasks prioritize high-demand items while auto-suppressing prep for stagnating buffet stations.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for computer vision data collection module reduced repeated setup work.
Reusable work for demand forecasting module let the team focus more time on the client’s specific needs.
This made it easier to add f&b monitoring platform without rebuilding common foundations.
A tested starting point for yield finops safety controls reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
Monitoring-driven prep synchronized kitchen output with guest appetite, eliminating end-of-service surplus.
Optimized protein prep and automated yield management directly improved Gross Profit margins.
Edge-native processing ensured that Fire alerts reached kitchen displays in under 400ms.
Coretus didn't just install cameras, they built a waste-reduction platform that reconciling our culinary art with engineering reality. We suppressed waste by 15% immediately, and our margins have never been more traceable.