Shelf and Store Operations Monitoring with Computer Vision

Uses cameras in stores to track shelf stock, planogram compliance and store conditions.

0in Indonesia

Named Models

Intel product detectionIntelReleasednot in the notesRuns onCPU serverClassvisionIntel OpenVINO detector for retail products on shelves and at checkout.Commercial use: not stated; Jakarta hosting: unknown; Indonesian support: not stated

Retail Object Detection and RecognitionNVIDIAReleasednot in the notesRuns onnot in the notesClassvision

NVIDIA models that detect and recognise retail items for checkout and shelf applications.Commercial use: not stated; 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

No deployment is recorded for this use case.

Where this comes from

Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

Artificial Analysis Intelligence Index: AA leaderboard, 205 current models

A general benchmark for this model class, not a test on this use case. Composite intelligence score across AA evaluations. index. Higher is better. Showing 10 of 17.

Claude Opus 5.5Anthropic independent58

Claude Sonnet 5.5Anthropic independent56

Claude Fable 5.1Anthropic independent53

GPT-6 AstraOpenAI independent53

GPT-6.1 SolOpenAI independent52

Muse Spark 1.3Meta independent48

Grok 4.7SpaceXAI (xAI) independent46

MiMo-V2.6-ProXiaomi independent46

Qwen3.8 MaxAlibaba (Qwen) independent45

Kimi K3Moonshot AI independent44

050100

Apertus v1.5 70BSwiss AI (EPFL, ETH Zurich, CSCS), multimodal LLMReleasedSep 2026open weightsIndonesian statedhas scoreslast 18 months

Muse Glimmer 30BMeta, multimodal LLMReleasedAug 2026open weightsIndonesian statedhas scoreslast 18 months

Mistral Medium 3.5 (v26.04)Mistral AI, multimodal LLMReleasedApr 2026open weightsIndonesian statedhas scoreslast 18 months

Gemma 4 31BGoogle, Google DeepMind, multimodal LLMReleasedApr 2026open weightsIndonesian statedhas scoreslast 18 months

Qwen3.6-27BAlibaba (Qwen), multimodal LLMReleasedApr 2026open weightsIndonesian statedhas scoreslast 18 months

Qwen3.5-4BAlibaba (Qwen), multimodal LLMReleasedMar 2026open weightsruns on edgehas scoreslast 18 months

Qwen3.5-122B-A10BAlibaba (Qwen), multimodal LLMReleasedFeb 2026open weightsIndonesian statedhas scoreslast 18 months

YOLO26lUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 months

YOLO26mUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 months

YOLO26nUltralytics, visionReleasedJan 2026open weightsruns on edgehas scoreslast 18 months

Showing 10 of 841. 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.

Use Case

Industry: retail and logistics
Model classes: visionmultimodal LLMunverified
Benchmarks or datasets: not in the notes
Regulatory notes: Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Shelf and store operations monitoring with computer vision is an AI-based service run by an electronic system operator, and the circular asks such operators to build and use AI on the values of inclusivity, transparency, humanity and security.
UU 27/2022 Pelindungan Data Pribadi, DPR and President of the Republic of Indonesia (administered by Kementerian Komunikasi dan Digital)Shelf and store operations monitoring with computer vision processes personal data of shoppers, sellers, drivers or customers, so the controller needs a lawful basis, must protect the data and must honour data subject rights.

Where this comes from

From the industry tracks T08 to T10 of the research notes.

R&D Topics

Links to R&D topics are awaiting review.

Where this comes from

Which R&D topics would most change this use case. Drafted by Claude from the topic definitions and the use case; proposed until approved.

Incidents

Rite Aid Facial Recognition Disproportionately Misidentified Minority Shoppers as ShopliftersUnited States, 2023-12-20, discriminationRite Aid used facial recognition technology from October 2012 to July 2020, allegedly leading to disproportionate misidentifications of women, Black, Latino, and Asian shoppers as "likely" shoplifters.
Amazon Fresh Cameras Failed to Register Purchased ItemsUnited States, 2022-05-08, financialAmazon Fresh's system of tracking cameras in its cashier-less stores was reported by shoppers for failing to detect items they purchased.

Where this comes from

Documented failures, harms or misuse in this kind of use, Indonesia first, then the region, then well-known cases elsewhere (AI Incident Database, OECD AI incidents monitor, reputable news). Not a claim about any deployment listed here.

Opportunities

Opportunities are awaiting review.

Where this comes from

Gaps found by rule in what the directory holds for this use case. Each is a proposal for review.

Sources

deloitte.com/content/dam/assets-zone3/us/en/docs/services/... https://www.deloitte.com/content/dam/assets-zone3/us/en/docs/services/consulting/2026/ai-use-cases-consumer-2026.pdf
cloud.google.com/transform/101-real-world-generative-ai-use-ca... https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Shelf and Store Operations Monitoring with Computer Vision", https://aurion.semai.id/usecases/ret-shelf-store-monitoring/, records of October 2026.

Shelf and Store Operations Monitoring with Computer Vision

Named Models

Who Runs It

Candidate Models

Artificial Analysis Intelligence Index: AA leaderboard, 205 current models

Links

Models 2

Sources