Mineral processing infrastructure
INDUSTRIAL SORTING | CLARITY RECOVER™

Measure Material Quality
On The Line.

Improve feed consistency, divert waste earlier, and support downstream process decisions with better material visibility on the line.

Measured Classification Accuracy

We evaluate how reliably Clarity distinguishes the material classes that matter in your process.

Process Workflow Fit

Evaluations are scoped around conveyor conditions, material presentation, and the downstream decision your team needs to support.

Ore/Waste Separation Value

We translate measured performance into a practical model for feed control, diversion, or additional process optimization.

Who This Is For
Mineral-processing teams managing feed variability on the plant side
Operations leaders evaluating ore and waste separation earlier in the process
Technical teams supporting blending, diversion, or process-control decisions
Site stakeholders validating whether a pilot can fit current conveyor conditions
The Challenge

When Material Variability Reaches the Plant Before It Is Measured

1The Problem

Mineral-processing workflows often rely on delayed assays, coarse proxies, or inconsistent visual inspection, even though feed variability directly affects throughput, recovery, and downstream plant performance.

2The Solution

Clarity Recover uses spectral analysis to classify material streams in real time, helping teams separate ore from waste earlier, understand feed variability faster, and make more informed operational decisions.

Real-Time Stream Characterization

Measure material classes on the line instead of waiting for delayed downstream confirmation.

Earlier Diversion Decisions

Support ore/waste separation, feed blending, and process-control decisions closer to the point of handling.

Adaptable to Site-Specific Material Signatures

Scope evaluations around the material classes, process conditions, and site constraints that define your operation.

Ore moving along a mining conveyor belt
Classes in Scope
Ore, waste rock, gangue, mixed material streams
Operational Outcome
Feed control, diversion, blending, process optimization
Example Evaluation Output

Customer-safe example available under NDA. Live evaluations are scoped around your material classes, your conveyor environment, and the process decision you need to make.

Request a Customer-Safe Example
What You Receive
Material classification output tied to the evaluated stream
Confidence context for the classes in scope
Process-fit summary for feed control or diversion use
Recommendation for next-step pilot or deployment planning

Project Scoping Process

Move from stream definition to a decision-ready evaluation path.

STEP 1 — Define Material Classes

Identify the ore, waste, gangue, or mixed fractions that matter operationally.

STEP 2 — Assess Sensor and Conveyor Conditions

Scope the evaluation around the real presentation conditions, throughput, and process constraints of the site.

STEP 3 — Review the Operational Model

Use the measured results to evaluate where Clarity can support diversion, blending, or process-control decisions.

FAQ

Questions Buyers Ask Before They Scope an Evaluation

What material inputs do you need?

We start with the classes that matter on site, along with enough conveyor and presentation context to scope a realistic evaluation.

What does an evaluation deliver?

A package with classified output, confidence context, process-fit summary, and a recommendation for pilot or deployment planning.

How is success measured?

Success is tied to the classes in scope and to whether the output supports a practical feed-control, diversion, or blending decision.

Can this fit existing plant workflows?

Yes. Evaluations are scoped around the conveyor conditions, process constraints, and decision workflow your team already needs to support.