D.M.C vs AI Maintenance Pro

D.M.C is more than just a destination management company, we are your trusted and dedicated partner, committed to curating an unforgettable experience tailored to your desires and preferences. With our expertise and local knowledge, we ensure that your visit to Lebanon surpasses all expectations.

Reproduce the "trained ear" of a veteran technician using AI. Record the normal operating sounds of your equipment with your iPhone, and build a dedicated anomaly detection AI for that specific machine. ■ Data Security Recorded audio is processed entirely on your iPhone — nothing is ever sent to external servers. AI training and diagnosis complete on-device, so confidential factory sounds never leave your organization. Safe to use even under strict information security policies. 【How to Use — 3 Steps】 1. Register Equipment (enter name and type) 2. Record Normal Sounds (10 seconds × 3+ times, 10+ recommended) 3. Tap "Train Model" — your equipment-specific AI is ready After training, simply record the same equipment and the AI automatically detects anomalies. 【Key Features】 ■ Equipment-Specific AI Training Learn normal sound patterns for each machine and build a customized detection model on-device. A statistical ensemble (3-sigma + Mahalanobis distance) classifies results as Normal, Warning, or Critical. ■ High-Accuracy Model — Premium (Optional) Add a server-side One-Class SVM for higher accuracy. Combined with the on-device model, a 3-detector ensemble boosts detection performance. ■ AI Detailed Analysis (Optional) Powered by Google Gemini — generates root-cause estimates and action recommendations tailored to equipment types such as bearings, gears, motors, pumps, and compressors. ■ PDF Report Export Export diagnosis results as business-grade PDF reports with anomaly scores, verdicts, and recommendations. ■ Diagnosis History Management Store past results and manage them efficiently with filter, sort, and search. ■ Offline Ready On-device AI supports recording and diagnosis without an internet connection. 【Use Cases】 ■ Predictive Equipment Maintenance Detect early signs of failure from operating sounds. Prevent unplanned downtime and enable scheduled maintenance. ■ Acoustic Quality Inspection Inspect products whose quality is judged by sound — automotive sunroofs, power windows, sliding doors, power seats, motor-embedded components, gearboxes. Quantify and automate production line inspection with a single iPhone. Replace subjective judgments with objective, statistically grounded data to reduce inspection variance. ■ Incoming Inspection Acoustic inspection for purchased parts or finished goods. Lot-level quality monitoring and defect detection at delivery. 【Ideal For】 • Maintenance staff at manufacturing sites • Equipment service providers • Quality control personnel • Sensory/acoustic product inspectors • Automotive parts and precision equipment inspectors • Small and mid-sized manufacturing business owners 【Supported Targets】 ■ Equipment Bearings, gears, motors, pumps, compressors, and other rotating machinery. ■ Products Automotive components (sunroofs, power windows, sliding doors, power seats), appliances, power tools, motors, gearboxes, fans, actuators — any product judged by its operating sound. *Works with any target for which you can capture normal operating audio. 【Pricing】 • Core features: Free (equipment registration, AI training, diagnosis, report export, history) • AI Detailed Analysis: In-app purchase (one-time / lifetime access) *Diagnosis results are for reference only. Consult a qualified technician for critical equipment decisions. 【Dataset Used for AI Model Testing】 MIMII Dataset: https://zenodo.org/records/3384388 Paper: https://arxiv.org/abs/1909.09347