Salinix
AI-powered computer vision system that automatically detects contaminants in harvested salt — delivering consistent, high-accuracy quality assurance at industrial scale.
What is Salinix?
Salinix is an AI-powered computer vision system that transforms salt quality control — replacing inconsistent manual inspection with real-time, automated contaminant detection at industrial scale.
AI Detection Pipeline
Four-stage vision pipeline — from raw image capture to automated quality decisions, processing each sample in under 50 milliseconds.
Image Capture
High-Resolution Acquisition
Industrial cameras capture high-resolution images of salt samples on the conveyor belt in real time. Multi-angle lighting eliminates shadows and reveals surface contaminants invisible to the naked eye.
Capture Station
A compact capture box with integrated LED lighting and camera — the operator simply places the tray inside and presses one button to trigger the entire inspection pipeline.
No technical knowledge required. Place the tray, press the button — results appear on the dashboard in seconds.
Tray Size Calibration
Before contaminant analysis begins, the system detects the four corners of each tray to calculate its precise dimensions — enabling accurate contaminant-per-gram measurements.
Corner Detection
Detects all four corners of the salt tray using edge detection algorithms to establish precise boundaries.
Size Measurement
Calculates tray dimensions in pixels and converts to real-world units using camera calibration parameters.
Area Calculation
Computes total tray area to determine salt volume — enabling accurate contaminant-per-gram concentration.
Contaminant Detection System
AI models analyze each salt tray frame-by-frame — detecting sand, dirt, stones, and foreign particles with bounding box precision, confidence scoring, and total contaminant weight calculation.
Quality Analytics
Real-time quality metrics, production throughput, and historical trend analysis — giving operators instant visibility into the entire inspection process.
Impact & Results
Measurable improvements across quality, speed, and cost — transforming salt quality control from manual guesswork into precision-driven automation.
Near-perfect contaminant identification eliminates human error in visual inspection.
Automated inspection processes trays 3× faster than manual quality checks.
Reduced labor costs and fewer customer returns due to contaminated product.
Continuous automated monitoring with no fatigue, shift breaks, or inconsistency.
Better grading accuracy means more clean batches pass inspection correctly.
Auto-generated quality certificates and full audit trail for regulatory compliance.
Technology Architecture
Built on a modern stack combining edge AI, cloud backend, and industrial integration layers for reliable, scalable quality control.
Edge AI & Vision
Backend & Data
Integration & UI
Ready to Transform Your Quality Control?
See how AI-powered vision can eliminate contaminants, boost throughput, and deliver consistent quality at industrial scale.