Project AURIONAI Use-Cases Research & Innovation
Industrial

Visual Quality Inspection and Defect Detection

Unsupervised anomaly detection on DINOv2 features, YOLO detectors and vendor CV models.

Named Models

China National Petroleum CorporationKunlun Large ModelChina National Petroleum CorporationReleasednot in the notesRuns onnot in the notesClassvisionCNPC model on Huawei Pangu for pipeline porosity and micro-crack detection; vendor claims about 40% higher defect identification efficiency and 25% less manual work.Commercial use: proprietary terms; Jakarta hosting: unknown; Indonesian support: not statedHuawei (Huawei Cloud)Pangu CVHuawei (Huawei Cloud)Releasednot in the notesRuns onnot in the notesClassvisionHuawei vision model for mines (cracks, belt damage, hot bearings, leaks, loose rock); won Mining Technology Excellence Awards 2025.Commercial use: proprietary terms; Jakarta hosting: unknown; Indonesian support: not statedHuawei (Huawei Cloud)Pangu Mine ModelHuawei (Huawei Cloud)Released2023Runs onnot in the notesClassLLMHuawei mining model from 2023, used at Shandong Energy.Commercial use: proprietary terms; Jakarta hosting: unknown; Indonesian support: not statedTsinghua UniversityDinomaly2Tsinghua University, Beijing Institute of Technology, Shanghai Jiao Tong University, Fudan UniversityReleasedOct 2025Runs onnot in the notesClassvisionDinomaly2Research model for industrial visual anomaly detection; image AUROC MVTec AD 99.9, VisA 99.3, Real-IAD 92.1. Licence unverified.Commercial use: not stated; Jakarta hosting: unknown; Indonesian support: not statedUltralyticsYOLO26UltralyticsReleasedJan 2026Runs onCPU server, laptop, embedded GPU, single datacentre GPUClassvisionUltralytics real-time vision model family (n/s/m/l/x) for detection, segmentation, semantic segmentation, depth, classification, pose, OBB and open-vocabulary variants. Follows YOLO11; the NMS-free idea is traced to YOLOv10.Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedIntelIntel weld porosity detectionIntelReleasednot in the notesRuns onCPU serverClassvisionIntel OpenVINO classifier that detects porosity defects in welding video for industrial inspection.Commercial use: not stated; Jakarta hosting: unknown; Indonesian support: not statedNVIDIAOptical Inspection and PCB Defect ClassificationNVIDIAReleasednot in the notesRuns onnot in the notesClassvisionNVIDIA models for automated optical inspection that classify printed circuit board defects.Commercial use: not stated; Jakarta hosting: unknown; Indonesian support: not statedNVIDIAVisual ChangeNetNVIDIAReleasednot in the notesRuns onnot in the notesClassvisionVisual ChangeNetNVIDIA TAO change detection models (classification and segmentation) that compare two images for defects or scene changes.Commercial use: not stated; Jakarta hosting: unknown; Indonesian support: not statedAmazonPatchCoreAmazonReleasedJun 2021Runs onnot in the notesClassvisionPatchCoreIndustrial visual anomaly detector that compares image patches with a memory bank of normal patch features, from the paper Towards Total Recall in Industrial Anomaly Detection (Roth et al., CVPR 2022).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedCEA (French Alternative Energies and Atomic Energy Commission)PaDiMCEA (French Alternative Energies and Atomic Energy Commission)ReleasedNov 2020Runs onnot in the notesClassvisionPaDiMPatch distribution modelling framework for detecting and localising anomalies in images. Paper by Defard et al. (2020).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedMVTec Software GmbHEfficientADMVTec Software GmbHReleasedMar 2023Runs onnot in the notesClassvisionEfficientADVisual anomaly detector built for millisecond-level latency. Paper by Batzner et al. (2023).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedUniversity of LjubljanaDRAEMUniversity of LjubljanaReleasedAug 2021Runs onnot in the notesClassvisionDRAEMDiscriminatively trained reconstruction model for surface anomaly detection. Paper by Zavrtanik et al. (2021).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedLeibniz University HannoverCS-FlowLeibniz University HannoverReleasedOct 2021Runs onnot in the notesClassvisionCross-scale normalising flows for image-based defect detection. Paper by Rudolph et al. (2021).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedUniversity of LjubljanaSuperSimpleNetUniversity of LjubljanaReleasedAug 2024Runs onnot in the notesClassvisionSuperSimpleNetFast surface defect detector that unifies unsupervised and supervised learning. Paper by Rolih et al. (2024).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not statedInstitute of Automation, Chinese Academy of SciencesGLASSInstitute of Automation, Chinese Academy of SciencesReleasedJul 2024Runs onnot in the notesClassvisionUnified anomaly synthesis strategy for industrial anomaly detection and localisation. Paper by Chen et al. (2024).Commercial use: allowed; Jakarta hosting: unknown; Indonesian support: not stated
Where this comes from
Models the research names for this use case. Research, with sources on each model record.

Who Runs It

production, 5
PT Aneka Tambang Tbk (ANTAM)PT Aneka Tambang Tbk (ANTAM), ferronickelCountry: IndonesiaConveyor belt tear and oversize detection; maintenance needs; reductant and dolomite composition monitoring (not stated)Vendor: not statedproductionDate9 Sep 2026AI is used per MIND IDEvidence: company statementConfidence: lowSource: en.antaranews.com
China National Petroleum CorporationChina National Petroleum Corp.Country: ChinaKunlun Large Model on Huawei PanguVendor: CNPC with HuaweiproductionDate24 Jun 2025Vendor claims about 40% higher pipeline-defect identification efficiency and 25% less manual workEvidence: company statementConfidence: lowSource: intelligentcio.com
Pertamina New & Renewable Energy (Pertamina NRE)Country: IndonesiaDrone plus AI inspection of a solar power plant in Riau for hot spots and panel anomalies (AI software not named)Vendor: Terra Drone Indonesia (drones); AI vendor not statedproductionDate24 Apr 2025Inspection completed December 2024, to repeat periodically; none measuredEvidence: company statementConfidence: lowSource: listrikindonesia.com
PT Akebono Brake Astra IndonesiaPT Akebono Brake Astra Indonesia (Astra Otoparts group)Country: IndonesiaAI machine for final inspection of brake pads that flags likely cracks (shown at Hannover Messe 2023)Vendor: not statedproductionDate19 Apr 2023In use; scope and results not statedEvidence: company statementConfidence: lowSource: idxchannel.com
Shandong Energy Group Company LimitedShandong EnergyCountry: ChinaPangu Mine ModelVendor: HuaweiproductionDate2023Evidence: company statementConfidence: lowSource: mining-technology.com
Where this comes from
Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

UltralyticsYOLO26lUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26mUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26nUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26sUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 monthsUltralyticsYOLO26xUltralytics, visionReleasedJan 2026open weightshas scoreslast 18 monthsRoboflowRF-DETR 2XLRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR MRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR NRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsRoboflowRF-DETR SRoboflow, visionReleasedNov 2025runs on edgehas scoreslast 18 monthsMetaSAM 3Meta, visionReleasedNov 2025open weightshas scoreslast 18 months

Showing 10 of 654. All models of this class

Where this comes from
Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Sources

  1. arxiv.org/pdf/2510.17611 https://arxiv.org/pdf/2510.17611
  2. Ultralytics YOLO26 | Ultralytics Docs docs.ultralytics.com https://docs.ultralytics.com/models/yolo26/
  3. Cross-industry use cases for Huawei’s Pangu Models 5.5 showcased – Intelligent CIO APAC intelligentcio.com https://www.intelligentcio.com/apac/2025/06/24/cross-industry-use-cases-for-huaweis-pangu-models-5-5-showcased/
  4. Mining Technology mining-technology.com https://www.mining-technology.com/newsletters/huaweis-pangu-5-5-ai-intelligent-mining-in-action
  5. FPT offers AI to Indonesia’s largest oil company Pertamina vir.com.vn https://vir.com.vn/fpt-offers-ai-to-indonesias-largest-oil-company-pertamina-124294.html
  6. MIND ID leverages AI to boost safety, mining operations en.antaranews.com https://en.antaranews.com/news/430657/mind-id-leverages-ai-to-boost-safety-mining-operations

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Visual Quality Inspection and Defect Detection", https://aurion.semai.id/usecases/ind-visual-inspection/, records of October 2026.