What SIMVIC Does

Users upload a photo of scrap metal through SIMVIC.app and the system analyzes visual features to estimate:

• Metal Type (Copper, Brass, Aluminium, Steel)
• Material Quality
• Purity Level (Approximate)
• Estimated Scrap Value Range

The system helps users quickly understand what type of metal they have and its estimated recycling value.

1. Image Capture

The process starts when a user takes a photograph of scrap metal, recyclable material or industrial metal components using a mobile device.

Clear images help the AI system recognize material properties more accurately.

2. Upload to SIMVIC.app

The image is uploaded securely through SIMVIC.app where the artificial intelligence system begins analyzing the material.

SIMVIC connects uploaded materials with its Metal Intelligence Network and pricing systems.

3. AI Analysis

Artificial intelligence analyzes multiple visual properties including:

• Colour
• Texture
• Shape
• Corrosion Level
• Material Patterns

SIMVIC AI compares uploaded materials against learned recognition patterns from real-world scrap images.

4. Value Estimation

After identification, SIMVIC compares detected materials with current market pricing data to produce an estimated scrap value range.

Prices are based on material category, condition and market trends.

What SIMVIC Can Identify

The AI system supports recognition of common recyclable metals and industrial scrap materials found in real-world recycling environments.

Important Accuracy Notice

SIMVIC provides estimated values, not guaranteed prices.

Final scrap value depends on:

• Weight of Material
• Purity Level
• Contamination
• Market Fluctuations
• Collection Location

The system assists decision-making but does not replace professional grading.

Why AI Metal Identification Matters

Traditionally, identifying scrap metal requires experience and manual inspection.

SIMVIC improves this process by:

• Reducing Guesswork
• Speeding Up Identification
• Helping Users Understand Value Instantly
• Supporting Recycling Decisions
• Creating Structured Material Data

SIMVIC Metal Intelligence Network

Every uploaded image contributes to a growing dataset that improves future AI recognition accuracy.

Over time, the system becomes better at understanding:

• How Metals Look in Real Conditions
• How Condition Affects Value
• Visual Differences Between Materials
• Material Recognition Patterns