FNam Smart Line Vision

FNam Smart Line Vision is a cutting-edge on-device AI solution for high-speed industrial lines. Build professional-grade 'Automated Product Counting' and 'Real-time Defect Analysis Systems' using just your smartphone, without expensive servers or complex infrastructure. Experience an integrated smart factory solution that simultaneously performs quantity measurement and quality control by fusing data from the camera (vision), microphone (noise), and accelerometer/gyroscope (vibration).

[Notice]
- Watch 2 ads to unlock all premium features for 1 hour.
- Some features will be available through future updates.

◎ Key Features
1. High-Precision Dual Counting Engine
- Object Count: Accurately tracks and counts individual products such as boxes and bottles.
- Pattern Count: Measures continuous targets like films, rolls, and repeating print patterns using specialized line-scan algorithms.
- Multi-Sensor Fusion AI: Diagnoses equipment and product status with high accuracy by combining camera image feature extraction, microphone frequency analysis (FFT), and vibration sensor waveform analysis.

2. Professional Data Logging and Analysis
- Standardized Master Schema: Records structured data by events, assets, and sessions.
- Real-time Graph Visualization: Instantly visualize waveforms and perform field analysis via Gain and Range adjustments.
- Data Management and ZIP Sharing: Compress session logs, sensor data, and images to instantly share via email or cloud.
- 100% On-Device Processing (Security First): All collection, training, and inference run entirely offline. Protect your confidential field data without external server transmission.
- Auto Tuning and Preset System: Automatically find optimal sensitivity and save configurations for instant recall.

◎ Data Storage Guide
Measurement data is automatically saved session by session to the Download > FNam LineVision folder on your device.
- Base Path: Internal Storage > Download > FNam LineVision

1. Count Mode (ProductCount)
Logs are saved per session by date and ID.

- Session_Info.json: Session summary (time, battery, final count).
- Count_EventLog.csv: Precise cross-line event data (time, location).
- Realtime_Signal / TrackLog.csv: Sensor waveforms & object paths for Graph Analysis.
- Config_History.csv: Log of setting/tuning changes.

2. Defect Inspection (DefectInspection)
Data is separated by model (e.g., Model_1).

- resnet_weights.json: On-site trained AI weights.
- {Date}_{Sensor}_NORMAL / FAIL.json: Raw data collected for AI training.
- Detection_Logs/: Captures images (.jpg) & sensor data (.csv) upon detection.

3. Master Ledger (Ledgers)
- Count_SessionIndex.csv: Master index summarizing all past sessions for quick loading in the in-app 'Report' menu.

◎ Applications
- Logistics and Packaging: Automated quantity counting on conveyors.
- Manufacturing and Production: Counting repeating patterns and monitoring print status.
- Predictive Maintenance: Detecting anomalies in motor and fan noise and vibration.
- Quality Assurance: Visual defect detection on assembly lines.

Upgrade your smartphone into the ultimate AI industrial tool. Start smart field management with FNam Smart Line Vision today.

Recent changes:
- Updated Google Play Billing Library to meet mandatory requirements