Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
-
Updated
Jul 28, 2026 - Python
Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
Cross-platform AI plugin for messy structured data analysis, statistical method planning, manufacturing analytics, and evidence-backed reports. Supports Claude Code, Codex, Cursor, OpenCode, Cline, Windsurf, GitHub Copilot, and Gemini CLI.
Self-serve metrics stack: dbt-style models in DuckDB + optional Prefect scheduler; builds sessions, funnel, and 7-day retention marts with exportable CSVs and charts (Superset/Metabase-ready).
Industrial Manufacturing Execution System (MES) developed with Python and Flask for real-time production monitoring, PLC data acquisition via Modbus TCP, and Raspberry Pi deployment.
Toyota Production Analytics Dashboard using Excel VBA to simulate Lean manufacturing analytics, production monitoring, defect analysis, and automated factory KPI reporting.
Plataforma de costeo, producción y rentabilidad multiusuario para fábricas de alimentos y cosméticos. Control de calidad por lote, auditoría completa, roles por equipo y reportes financieros en tiempo real
SQL & Tableau manufacturing analytics project comparing rule-based diagnostic modeling vs leakage-safe predictive risk modeling using the AI4I 2020 dataset.
Power BI dashboard analyzing Plant Co.’s Sales, Quantity & Gross Profit with YTD vs PYTD insights.
Selected predictive-maintenance analytics case study with evaluated ML, DuckDB SQL, and a risk-ranked maintenance queue.
Semiconductor DMI yield intelligence platform for class-imbalanced defect detection, wafer-map simulation, and chamber traceback
Outdoor inventory intelligence operations prototype with fictional demo data.
raw material demand forecasting and supply chain optimization dashboard for industrial operations.
DOE, RSM, regression, and multi-objective optimization of 3D printing parameters for lightweight and high-strength UAV parts
End-to-end BI project: SQL data mart + Python (OEE, defect PPM, supplier OTIF) + interactive Streamlit dashboard modeled on automotive manufacturing KPIs.
An AI-powered predictive maintenance project for IoT devices that uses simulated sensor data, machine learning, and real-time API inference to predict equipment failures and support maintenance decisions
Manufacturing analytics portfolio investigating toothbrush factory inefficiencies. Features root-cause modeling (OEE) and interactive Power BI dashboards.
Plug-and-play Power BI showcase for a 3D-printing workflow: star-schema data model, DAX KPIs (on-time %, reprint %, utilization), time-intelligence (MTD/QTD/YTD), and stakeholder-ready visuals. Includes PBIX, PDF preview, theme, clean sample data, and scripts for full reproducibility.
Acerta (Acerta Analytics Solutions Inc.) is an industrial AI company whose LinePulse platform applies machine learning to real-time discrete-manufacturing production data to detect and resolve quality defects early.
AI-assisted manufacturing operations recovery and disruption simulation platform using synthetic defense-oriented production data.
Operational digital twin for diagnosing capacity pressure and testing sequencing, yard, charging, and dispatch decisions during an EV van ramp-up.
Add a description, image, and links to the manufacturing-analytics topic page so that developers can more easily learn about it.
To associate your repository with the manufacturing-analytics topic, visit your repo's landing page and select "manage topics."