In recycling, mixed waste streams limit recovery performance.
Recycling and resource-recovery plants handle mixed materials that look similar but behave very differently.
Color cameras and mechanical sensors can’t distinguish chemical composition, coatings, or conductive layers—leading to contamination, missed recovery, and lost profit.
As packaging grows more complex and sustainability mandates tighten, operators need real-time, quantitative data to classify every fragment by type, chemistry, and conductivity.
Without it, valuable materials slip through, recovery goals stall, and plant performance declines.
Every Pixel Proven For
What Counts: Results
Headwall delivers measurable reliability, accuracy, and usability across real-world environments—from the lab to the line, from Earth to orbit. That’s the measurable difference of Headwall sensing solutions—clarity, consistency, and confidence in every result.
Clarity
Detect, classify, and recover every material with spectral and inductive precision. Headwall combines hyperspectral imaging and inductive sensing to deliver full-spectrum classification across plastics, metals, glass, paper, and organics.
Hyperspectral systems distinguish chemical composition and polymer type, while inductive sensors detect ferrous and non-ferrous metals through conductivity.
Integrated within a single workflow, these systems capture and correlate real-time data—enabling targeted ejection, cleaner fractions, and higher recovery at production speed.
With complete material visibility, recyclers see every composition for what it truly is.
Consistency
Act on quantitative, real-time data that stays stable across shifts and streams. Factory-calibrated optics and solid-state inductive sensors deliver repeatable accuracy through vibration, dust, and temperature change.
Unified software synchronizes spectral and conductivity data, providing operators with a single, actionable view of purity, yield, and throughput.
This consistency gives every scan traceable value—supporting process optimization, maintenance planning, and ESG reporting.
Each dataset becomes proof of performance that sustains recovery efficiency and product quality.
Confidence
Move from material recognition to automated recovery. Spectral and inductive data guide automated and robotic sorters in real time—linking precise material recognition directly to mechanical action for cleaner output and higher yield.
Headwall’s unified workflow connects sensing, classification, and process control—turning every detection into an actionable command.
The result: less manual rework, greater throughput, and confidence that every recovered fraction meets its target specification.
Recycling and Waste Applications
From recycling plants to waste recovery facilities, hyperspectral and inductive sensing provide full-spectrum visibility into material composition and purity.
How does hyperspectral imaging improve sorting accuracy and resource recovery?
Plastic Polymer Identification
Sort plastic polymers by chemical composition for high-purity recycling
Differentiate plastic types by spectral signature to achieve higher purity levels and improved mechanical and chemical recycling efficiency.
Learn what hyperspectral imaging reveals
Black & Dyed Plastic Separation
Identify and separate black or heavily dyed plastics by spectral signature
Detect near-infrared spectral differences in colored or carbon-black plastics that conventional cameras can’t distinguish for accurate downstream sorting.
Learn what hyperspectral imaging reveals
Textile Fiber Classification
Classify textiles by fiber content (cotton, polyester, nylon, wool)
Automatically distinguish and separate textiles by fiber composition to support fiber-to-fiber recycling and reduce landfill waste.
Learn what hyperspectral imaging reveals
Paper & Coating Differentiation
Separate coated vs. uncoated paper for optimized reprocessing
Identify paper coatings and fillers spectrally to optimize pulping efficiency and improve recovered fiber quality.
Learn what hyperspectral imaging reveals
Multilayer Packaging Identification
Identify multilayer packaging films or composites for targeted recovery
Detect layered structures and barrier materials within flexible packaging to enable material-specific recovery and recycling.
Learn what hyperspectral imaging reveals
Metal Alloy & Contamination Detection
Identify metal alloys and contaminations in scrap recycling streams
Combine hyperspectral and inductive sensing to distinguish alloy types and remove contaminants, increasing purity and resale value.
Learn what hyperspectral imaging reveals
Organic & Inorganic Differentiation
Distinguish organic and inorganic materials in mixed waste sorting
Differentiate biodegradable from synthetic materials to support composting, anaerobic digestion, and advanced waste-to-energy processes.
See environmental monitoring applications
Compost & Biomass Inspection
Detect contaminants in compost and biomass before reuse
Identify plastics, metals, and glass contamination in compost or biomass feedstocks to ensure purity and compliance before reuse.
Learn what hyperspectral imaging reveals
Automated & Robotic Sorting
Guide automated or robotic sorters via real-time material recognition
Integrate hyperspectral imaging with robotic sorting systems to provide real-time, pixel-level classification and faster recovery decisions.
Talk to an application specialistTalk to an Expert
Proven on the line. Trusted worldwide. Reliability in recovery.
Headwall hyperspectral and inductive systems deliver calibrated, repeatable precision that keeps material streams pure and recovery rates high—maintaining quantitative accuracy shift after shift, line after line.
Engineered for industrial realities like vibration, heat, and dust, each solid-state system holds its calibration without drift or downtime.
With more than two decades of deployment across recycling environments worldwide, Headwall technology drives measurable gains in yield, purity, and throughput—turning reliable data into real recovery performance.