Phase 1 — Discovery & Consultation
We act as your internal vision department. Free feasibility tests in our labs, light/lens selection, and ROI modelling. Goal: first-time-right architecture to save months of R&D.
Phase 2 — Custom Development
From illumination and optics to sensors, processing boards, and AI algorithms — we cover the full machine vision stack. Designed solutions shaped as per volume, pricing, and performance requirements.
Phase 3 — Lifecycle & Sustainability
We eliminate "End-of-Life" panic. 10+ years of guaranteed supply, frozen firmware versions, proactive Product Change Notifications (PCN), global RMA and field engineering on standby.
Agriculture & Horticulture
Fruits, vegetables, grains, seeds, nuts, and spices. Rejects discolouration, broken kernels, shell fragments, foreign matter, and insect damage. SWIR adds aflatoxin and moisture detection capability.
Textile
Fibre identification and foreign material detection in cotton and recycled cotton streams — removing synthetic fibre contamination, coloured inclusions, and non-cotton material before spinning.
Plastic Recycling
SWIR-based polymer identification distinguishes PET, HDPE, PP, and PVC by spectral signature — enabling clean material stream separation in post-consumer plastic flake and municipal solid waste lines.
Paper Recycling
Sorting grades and removing contaminants from mixed paper streams — ensuring consistent fibre quality for pulp and paper reprocessing.
Minerals & Mining
Ore sorting, scrap metal separation, and mineral grading. SWIR hyperspectral classifies minerals by molecular absorption signature — separating lithologies invisible to RGB cameras.
Ready to start your OEM partnership? Request a feasibility study or talk to us about your machine vision requirements.