Commercial Kitchen Grease Trap Monitor
An IoT sensor system that measures the volume and density of FOG (Fats, Oils, and Grease) buildup in commercial kitchen grease traps.
🎯The Problem
Kitchens and municipalities spend money cleaning grease traps reactively, resulting in unnecessary cleaning costs or mandatory fines when traps overflow.
💡The Solution
A non-invasive sensor that uses ultrasound or radar to measure the grease level and alerts the kitchen when the trap is exactly 80% full and needs service.
👥Target Users
Restaurants, Commercial Kitchen Chains, Plumbing/Maintenance Companies, Municipal Water Authorities
📊Difficulty: 7/10 — Intermediate
This is an intermediate micro-SaaS idea suited for builders with some shipping experience. Expect to work with third-party integrations, more complex data models, and nuanced user workflows that require careful planning.
Estimated Timeline
A few months to a solid MVP
Skills Needed
Full-stack development, API integrations, and background job processing
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