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Financed by ALGARVE 2030, Portugal 2030 and by the European Union, ALGARVE-FEDER-02964500, Ref. 24298
Promotor SPIC - Sonha Pensa Imagina Comunica, Lda., co-promotor University of the Algarve (ISE)
1 Out. 2025 - 30 set. 2028
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Synopsis
The AI.INSIGHTS project aims to develop a cutting-edge, privacy-focused platform for real-time analysis of user behaviour and satisfaction in event stands and small-to-medium retail stores. By leveraging Edge AI and multi-sensor fusion (RGB cameras, 360-degree cameras, LiDAR, depth cameras, mmWave radar, microphone arrays, ultra-wide band (UWB) technology, and other sensors), the system anonymously tracks key metrics like engagement, sentiment, dwell time, and crowd dynamics without storing personal data. The platform provides real-time dashboards, predictive analytics, and adaptive interfaces, including AR overlays, to help managers optimise stand performance and enhance the customer experience. It will result in three commercial products: INSIGHTS.APP, INSIGHTS.API for third-party integration, and an enhanced version of SPIC’s EVENT.OS. The project, developed by SPIC and the University of Algarve, aligns with GDPR and the EU AI Act, targets a global market, and aims to deliver actionable insights for improving ROI and operational efficiency in physical events and retail environments.
Team UAlg
Professors
Research Grants / Collaborators
Abdellah Walid PhD#1 (WP#1 - Edge AI Behaviour)
David Solá MSc#2 (WP#2 - Multi-Sensor Positioning & Edge AI Satisfaction)
Roberto Santos Collaborator MSc#1 (WP#1 - Queues Analisys)
Elizaveta Vorotnikova Collaborator Internship#1 (WP#1 - Data Curation)
Julia Średzińska Collaborator Internship#1 (WP#1 - Data Curation)
Pedro VAz Collaborator PhD#2 (WP#1 - Body Expression)
Localisation: Visual Computing Lab., Bldg. 32, Room 1.50, UAlg, ISE, Campus da Penha, 8005-136 Faro, Portugal
ACKNOWLEDGES: This work is supported by the project AI.INSIGHTS: AI-Powered Real-Time Anonymous User Echo Monitoring (ALGARVE-FEDER-02964500, Ref. 24298) co-financed by ALGARVE 2030, Portugal 2030 and by the European Union.
Publications
Journal
Conferences
Santos, Roberto, Carvalho, Jaime, & Rodrigues, João M.F. (2026) Conservative Tracking and Affective Framework for Longitudinal Queue Analysis and Customer Satisfaction Dynamics, Accepted to 12th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, Alexandroupolis, Greece, 22 – 24 June, 2026
Thesis
PhD#1: Abdellah Walid (Set. 2026) Human Behaviour Analysis at Events Via Multimodal Sensor Fusion, PhD in Informatics Engineering, Universidade do Algarve (on-going).
MSc#1: Roberto Santos (Set. 2025 -) AI-Driven Framework for Analysing Customer Queue Behaviour, Master's degree in Electrical and Computer Engineering, Instituto Superior de Engenharia, Universidade do Algarve (on-going)
MSc#2: Davis Solá (Set. 2026 -) Final title to be defined, Master's degree in Electrical and Computer Engineering, Instituto Superior de Engenharia, Universidade do Algarve (on-going)
Internship#1: Elizaveta Vorotnikova (Jan. 2026 - April 2026) Data Curation for Behaviour Analysis in Stands, Gdańsk University, Poland (concluded)
Internship#2: Julia Średzińska (Jan. 2026 - April 2026) Data Curation for Behaviour Analysis in Stands, Gdańsk University, Poland (concluded)
Press
A Nova Era das Experiências Inteligentes: Como a IA Revela as Emoções e a Satisfação do Público. Semanário Sol, Caderno País Positivo, 10 de abril 2026. link
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