2026 Top Types of Machine Vision Inspection Systems

System Type	Typical Spectral Bands	Common Spectral Range	Typical Spectral Resolution	Typical Spatial Resolution	Material-Sorting Applications	Main Advantages	Main Limitations	Typical Inspection Position
Four-Band Multispectral	4 fixed bands	Visible and near-infrared, commonly approximately 400–1,000 nm	Broad discrete bands; commonly 20–100 nm effective bandwidth per channel	Approximately 0.2–2.0 mm per pixel, depending on optics and conveyor height	Basic separation of clear and colored plastics, paper contamination, food defects, and visible surface differences	Low data volume, simple integration, high line speed, and relatively low illumination and processing requirements	Limited ability to distinguish materials with overlapping reflectance in the selected bands	High-speed conveyor inspection and compact sorting machines
Five- to Eight-Band Multispectral	5–8 fixed bands	Visible, near-infrared, or selected short-wave infrared bands; approximately 400–1,700 nm	Discrete bands selected for specific absorption or reflectance features	Approximately 0.3–3.0 mm per pixel	Polymer classification, glass color sorting, agricultural produce grading, and foreign-material detection	Good balance between classification capability, throughput, and system cost	Requires application-specific band selection; performance may decline when material composition changes	Production lines requiring targeted pass/fail or multi-class sorting
Eight- to Sixteen-Band Multispectral	8–16 fixed or tunable bands	Approximately 400–1,700 nm; some configurations extend into longer-wave infrared ranges	Typically narrow-to-medium discrete bands, often selected around known material signatures	Approximately 0.5–4.0 mm per pixel	Mixed-plastic sorting, textile fiber identification, pharmaceutical or food inspection, and mineral pre-sorting	Improved discrimination of similar materials without the full data burden of hyperspectral imaging	More complex calibration and illumination control; still dependent on predefined spectral features	Medium- to high-speed industrial inspection and robotic pick-and-place systems
Sixteen- to Thirty-Two-Band Snapshot or Tunable System	16–32 bands	Visible to near-infrared or short-wave infrared; commonly approximately 400–2,500 nm	Moderate spectral resolution with multiple narrow channels or tunable filters	Approximately 1–5 mm per pixel in conveyor applications	Black-plastic identification, polymer additives, organic contamination, food composition, and coated-material inspection	More detailed spectral signatures and better separation of visually similar materials	Higher camera, lighting, calibration, and computing requirements; possible reduction in line speed	Advanced conveyor inspection, laboratory-to-production systems, and automated material recovery facilities
Thirty-Two- to One-Hundred-Band Hyperspectral	32–100 contiguous or densely spaced bands	Visible–near-infrared or short-wave infrared; approximately 400–2,500 nm	Typically about 5–20 nm, depending on spectral range and sensor design	Approximately 1–10 mm per pixel, depending on spectral configuration and field of view	Detailed polymer sorting, mineral classification, food adulteration screening, moisture mapping, and chemical-contamination detection	Captures rich spectral signatures and supports chemometric classification of closely related materials	Large data volume, more demanding calibration, sensitivity to illumination variation, and higher processing latency	High-value sorting lines, process monitoring, and applications requiring model-based classification
One-Hundred-Plus-Band Hyperspectral	100–400+ bands	Visible, near-infrared, short-wave infrared, or selected mid-wave infrared ranges; approximately 400–5,000 nm depending on the sensor	Often approximately 1–10 nm in the selected spectral range, although resolution varies by instrument	Approximately 2–20 mm per pixel in practical conveyor systems; laboratory systems can achieve finer resolution	Complex material mixtures, subtle chemical differences, mineralogy, pharmaceutical verification, and research-grade recycling analysis	Highest spectral detail and strong potential for identifying subtle composition differences and unexpected contaminants	Highest cost and data-processing burden; typically lower throughput, more complex optics, and stricter environmental control	Laboratory, pilot lines, quality verification, and specialized low- to medium-speed sorting
Dual-Range Multispectral or Hyperspectral	Typically 8–64 combined bands	Two spectral regions, commonly visible–near-infrared plus short-wave infrared	Depends on each range; commonly discrete bands in the visible range and finer bands in SWIR	Approximately 0.5–8.0 mm per pixel	Dark and black polymer separation, food and agricultural sorting, moisture-related defects, and mixed-material recovery	Combines color, surface, and chemical-composition information in one inspection architecture	Requires precise co-registration between spectral channels and careful management of different illumination requirements	Advanced recycling, food processing, and multi-parameter inspection lines
Practical performance depends on wavelength selection, illumination, conveyor speed, material presentation, camera-to-object distance, calibration quality, and the classification algorithm. Band counts are representative engineering ranges rather than universal standards.