Solid Scanner – Industrial Spectral Sensing Systems

Relia­ble mate­ri­al iden­ti­fi­ca­ti­on across indus­tri­al environments.

About the Company

Solid Scan­ner is a tech­no­lo­gy com­pa­ny focu­sed on indus­tri­al spec­tral sens­ing sys­tems for mate­ri­al iden­ti­fi­ca­ti­on and clas­si­fi­ca­ti­on. The com­pa­ny deve­lo­ps prac­ti­cal spec­tro­sco­py-based solu­ti­ons that enable engi­neers, labo­ra­to­ries, and indus­tri­al ope­ra­tors to iden­ti­fy mate­ri­als quick­ly and reliably.

Its sys­tems com­bi­ne spec­tral sen­sors, data pro­ces­sing, and che­mo­me­tric clas­si­fi­ca­ti­on models to inter­pret mate­ri­al signa­tures across the near-infrared (NIR), mid-infrared (MIR), and hyper­spec­tral domains. The­se tech­no­lo­gies allow mate­ri­als to be distin­gu­is­hed based on their mole­cu­lar absorp­ti­on patterns.

Solid Scan­ner solu­ti­ons are used in appli­ca­ti­ons whe­re accu­ra­te mate­ri­al iden­ti­fi­ca­ti­on is cri­ti­cal, inclu­ding pla­s­tics veri­fi­ca­ti­on, tex­ti­le fiber ana­ly­sis, pack­a­ging inspec­tion, recy­cling clas­si­fi­ca­ti­on, and indus­tri­al qua­li­ty control.

The com­pa­ny focu­ses on trans­la­ting spec­tro­sco­py from a labo­ra­to­ry tech­ni­que into robust sens­ing sys­tems sui­ta­ble for ope­ra­tio­nal envi­ron­ments.

Company Background

Solid Scan­ner ori­gi­na­ted from appli­ed work with minia­tu­ri­zed near-infrared spec­tro­sco­py, whe­re por­ta­ble spec­tro­me­ters were used to per­form rapid mate­ri­al iden­ti­fi­ca­ti­on out­side tra­di­tio­nal labo­ra­to­ry settings.

Initi­al deploy­ments focu­sed on poly­mer and tex­ti­le mate­ri­al iden­ti­fi­ca­ti­on, demons­t­ra­ting that com­pact spec­tro­me­ters could deli­ver meaningful ana­ly­ti­cal results when pai­red with careful­ly deve­lo­ped cali­bra­ti­on and clas­si­fi­ca­ti­on models.

This work evol­ved toward the deve­lo­p­ment of modu­lar spec­tral sens­ing archi­tec­tures that inte­gra­te sen­sor hard­ware, opti­cal con­fi­gu­ra­ti­on, illu­mi­na­ti­on design, and che­mo­me­tric inter­pre­ta­ti­on into com­ple­te mea­su­re­ment systems.

The deve­lo­p­ment path typi­cal­ly pro­gres­ses through seve­ral stages:

  • Por­ta­ble mea­su­re­ment sys­tems for rapid mate­ri­al verification
  • Appli­ca­ti­on vali­da­ti­on set­ups used to deve­lop and refi­ne spec­tral models
  • Inline inspec­tion sys­tems inte­gra­ted into indus­tri­al workflows
  • Hyper­spec­tral ima­ging sys­tems for spa­ti­al­ly resol­ved che­mi­cal analysis

Through this staged approach, spec­tro­sco­py appli­ca­ti­ons can move from fea­si­bi­li­ty to relia­ble indus­tri­al deployment.

What the Company Focuses On

Solid Scan­ner focu­ses on the deve­lo­p­ment and deploy­ment of spec­tral sens­ing sys­tems for indus­tri­al mate­ri­al intel­li­gence.

The com­pa­ny con­cen­tra­tes on three com­ple­men­ta­ry sys­tem categories:

Por­ta­ble spec­tro­sco­py tools
Hand­held NIR spec­tro­me­ters used for rapid mate­ri­al iden­ti­fi­ca­ti­on in labo­ra­to­ries, field envi­ron­ments, and indus­tri­al operations.

Appli­ca­ti­on-spe­ci­fic hand­held systems
Devices desi­gned for ope­ra­tio­nal mate­ri­al veri­fi­ca­ti­on tasks such as pla­s­tics iden­ti­fi­ca­ti­on, tex­ti­le fiber veri­fi­ca­ti­on, or pack­a­ging mate­ri­al inspection.

Modu­lar spec­tral inspec­tion systems
Inte­gra­ted sens­ing plat­forms that com­bi­ne spec­tral came­ras, illu­mi­na­ti­on sys­tems, indus­tri­al com­pu­ting, and che­mo­me­tric models for auto­ma­ted mate­ri­al inspec­tion and clas­si­fi­ca­ti­on. The­se sys­tems sup­port indus­tri­al work­flows whe­re mate­ri­als must be iden­ti­fied, veri­fied, or sor­ted based on their che­mi­cal com­po­si­ti­on.
Rather than buil­ding high­ly cus­to­mi­zed hard­ware, Solid Scan­ner empha­si­zes stan­dar­di­zed sens­ing plat­forms com­bi­ned with appli­ca­ti­on-spe­ci­fic spec­tral models.

Technical Expertise

The tech­ni­cal core of the com­pa­ny lies in the inte­gra­ti­on of spec­tro­sco­py hard­ware with che­mo­me­tric data ana­ly­sis.

Key are­as of exper­ti­se include:

Near-Infrared Spec­tro­sco­py (NIR)
Wide­ly used for rapid iden­ti­fi­ca­ti­on of poly­mers, tex­ti­les, and orga­nic mate­ri­als through their mole­cu­lar absorp­ti­on patterns.

Mid-Infrared Spec­tro­sco­py (MIR)
Appli­ed when hig­her spec­tral spe­ci­fi­ci­ty is requi­red for che­mi­cal identification.

Hyper­spec­tral Ima­ging (HSI)
Com­bi­nes spec­tro­sco­py with spa­ti­al ima­ging, allo­wing che­mi­cal infor­ma­ti­on to be cap­tu­red across sur­faces or mate­ri­al streams.

Che­mo­me­tric Modeling
Deve­lo­p­ment of sta­tis­ti­cal and machi­ne lear­ning models that trans­la­te spec­tral data into relia­ble mate­ri­al classifications.

Spec­tral Sys­tem Integration
Design of illu­mi­na­ti­on sys­tems, opti­cal paths, sen­sor con­fi­gu­ra­ti­ons, and indus­tri­al inter­faces requi­red for sta­ble ope­ra­ti­on in real environments.

The­se capa­bi­li­ties allow Solid­scan­ner to con­vert raw spec­tral mea­su­re­ments into ope­ra­tio­nal decis­i­on tools for mate­ri­al veri­fi­ca­ti­on and clas­si­fi­ca­ti­on.

Company Profile

Com­pa­ny: Solid Scanner
Head­quar­ters: Munich, Germany
Core field: Indus­tri­al spec­tro­sco­py and spec­tral sens­ing systems

Tech­no­lo­gy domains

  • Near-Infrared spec­tro­sco­py (NIR)
  • Mid-Infrared spec­tro­sco­py (MIR)
  • Hyper­spec­tral ima­ging (HSI)
  • Che­mo­me­tric clas­si­fi­ca­ti­on and cali­bra­ti­on models

Sys­tem architecture

  • Por­ta­ble spec­tro­sco­py instruments
  • Vali­da­ti­on and appli­ca­ti­on deve­lo­p­ment setups
  • Inline spec­tral inspec­tion systems
  • Hyper­spec­tral ima­ging platforms

Typi­cal applications

  • Pla­s­tics identification
  • Tex­ti­le fiber verification
  • Pack­a­ging inspection
  • Recy­cling mate­ri­al classification
  • Indus­tri­al qua­li­ty control

Tech­no­lo­gy ecosystem

Solid Scan­ner ope­ra­tes within a broa­der spec­tro­sco­py tech­no­lo­gy eco­sys­tem, working with sen­sor manu­fac­tu­r­ers, hyper­spec­tral came­ra ven­dors, opti­cal com­po­nent sup­pli­ers, and spe­cia­li­zed spec­tro­sco­py soft­ware pro­vi­ders. The com­pa­ny focu­ses on sys­tem inte­gra­ti­on and che­mo­me­tric model deve­lo­p­ment, enab­ling the­se tech­no­lo­gies to func­tion as relia­ble indus­tri­al sens­ing systems.