| Naslov: | Adaptive visual quality inspection based on defect prediction from production parameters |
|---|
| Avtorji: | ID Lončarević, Zvezdan, Institut Jožef Stefan (Avtor)
ID Reberšek, Simon, Institut Jožef Stefan (Avtor)
ID Šela, Samo (Avtor)
ID Skvarč, Jure (Avtor)
ID Ude, Aleš, Institut Jožef Stefan (Avtor)
ID Gams, Andrej, Institut Jožef Stefan (Avtor) |
|---|
| Datoteke: |  URL - Izvorni URL, za dostop obiščite https://ieeexplore.ieee.org/document/10587254
 PDF - Predstavitvena datoteka, prenos (7,44 MB)
MD5: B6EFFB21439897CD974B52FF26B6C1CD
|
|---|
| Jezik: | Angleški jezik |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: |  IJS - Institut Jožef Stefan
|
|---|
| Povzetek: | At the end of a production process, the manufactured products must usually be visually inspected to ensure their quality. Often, it is necessary to inspect the final product from several viewpoints. However, the inspection of all possible aspects might take too long and thus create a bottleneck in the production process. In this paper we propose and evaluate a methodology for adaptive, robot-aided visual quality inspection. With the proposed method, the most probable defects are first predicted based on the production process parameters. A suitable classifier for defect prediction is learnt in an unsupervised manner from a database that includes the produced parts and the associated parameters.Arobot then steers the camera only towards viewpoints associated with predicted defects, which implies that the trajectories of robot motion for the inspection might be different for every product. To enable dynamic planning of camera trajectories, we describe a methodology for evaluation and selection of the most appropriate autonomous motion planner. The proposed defect prediction approach was compared to other methods and evaluated on the products from a real-world production line for injection moulding, which was implemented for a producer of parts in the automotive industry. |
|---|
| Ključne besede: | robot learning, robotic quality inspection, visual quality inspection, injection moulding, production parameters, robot motion planning |
|---|
| Status publikacije: | V tisku |
|---|
| Verzija publikacije: | Recenzirani rokopis |
|---|
| Datum objave: | 08.07.2024 |
|---|
| Založnik: | IEEE |
|---|
| Leto izida: | 2024 |
|---|
| Št. strani: | str. 1-12 |
|---|
| Številčenje: | Vol. 12 |
|---|
| Izvor: | ZDA |
|---|
| PID: | 20.500.12556/DiRROS-19297  |
|---|
| UDK: | 007.52 |
|---|
| ISSN pri članku: | 2169-3536 |
|---|
| DOI: | 10.1109/ACCESS.2024.3424664 |
|---|
| COBISS.SI-ID: | 201318659 |
|---|
| Opomba: | Nasl. z nasl. zaslona;
Soavtorji: Simon Reberšek, Samo Šela, Jure Skvarč, Aleš Ude, Andrej Gams;
Opis vira z dne 10. 7. 2024;
|
|---|
| Datum objave v DiRROS: | 15.07.2024 |
|---|
| Število ogledov: | 328 |
|---|
| Število prenosov: | 223 |
|---|
| Metapodatki: |    |
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
