Predictive maintenance for smart cities – sentin
This video explains how computer vision and AI (Artificial Intelligence) can be used to analyse street environments and enable predictive maintenance of road infrastructure. You’ll learn how image‑based damage detection, drone inspections and automated anonymisation workflows help cities identify hazards earlier, reduce maintenance costs and improve public safety.
The presentation explores three real smart‑city use cases: building inspections via drone imagery, road‑condition monitoring with segmentation models, and GDPR‑compliant anonymisation of faces and licence plates. It also outlines the complete AI workflow – from data collection and annotation to model training, validation and deployment – highlighting why structured data and scalable processes are essential for reliable urban‑infrastructure management.
Topics covered
- How AI enables early detection of road damage and infrastructure risks
- Benefits of drone‑based building inspections for smart‑city applications
- Why data quality and annotation formats are critical for model performance
- Practical examples of segmentation, detection and classification models
- GDPR‑compliant (GDPR=General Data Protection Regulation) anonymisation of faces and number plates
Video timeline
- 00:00 - Introduction to smart city challenges
- 04:27 - Introduction of sentin GmbH
- 06:36 - Smart city use cases
- 10:32 - Challenges of AI
- 11:45 - 6 steps towards an AI solution: 1. step: collect data
- 13:14 - 2. step: data preparation
- 13:38 - 3. step: model training: the different levels
- 16:03 - Step 4, 5 and 6: validation, integration and monitoring
- 19:34 - Collect images
- 24:00 - Data preparation
- 26:45 - Modell integration & execution
- 29:53 - sentin incognito: smart city use case
- 31:25 - Q&A
Who should watch
Ideal for city planners, civil‑engineering teams, AI developers, public authorities, infrastructure‑maintenance providers and anyone exploring smart‑city computer‑vision solutions.
Watch now to discover how predictive AI transforms road maintenance.