Training on Computer Vision for Sanitation Facility Condition Assessment
Professional training on AI-powered sanitation facility monitoring, defect detection, and digital infrastructure assessment.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Foundation
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This specialized programme is designed to equip professionals with the knowledge and practical skills required to apply Computer Vision and Artificial Intelligence (AI) technologies for the assessment, monitoring, and management of sanitation facilities. Participants will explore how image recognition, machine learning, and automated inspection systems can be used to evaluate facility conditions, identify maintenance needs, monitor infrastructure performance, and support evidence-based decision-making. Through practical exercises, case studies, and real-world applications, the programme enables participants to leverage digital technologies to improve sanitation service delivery, operational efficiency, and infrastructure sustainability.
Duration
5 Days
Who Should Attend
- WASH programme managers and specialists
- Sanitation engineers and technical officers
- Infrastructure and asset management professionals
- Monitoring and evaluation specialists
- GIS and remote sensing practitioners
- ICT and digital transformation professionals
- Municipal and local government officers
- Researchers and development practitioners
- Utility and service delivery managers
What you'll walk away with
By the end of the training, participants will be able to:
- Understand the fundamentals of computer vision and AI applications
- Apply image-based analysis for sanitation facility assessments
- Identify infrastructure defects and maintenance requirements using AI tools
- Utilize digital inspection systems for monitoring sanitation assets
- Improve data-driven decision-making for sanitation management
- Develop implementation strategies for AI-enabled facility monitoring
What we cover, module by module
Module 1: Introduction to Computer Vision for Sanitation Management
- Fundamentals of computer vision and AI
- Digital transformation in sanitation services
- Applications of image recognition in infrastructure assessment
- Case Study: AI-driven sanitation monitoring systems
Module 2: Image Data Collection and Processing
- Image acquisition techniques and best practices
- Mobile-based and drone-assisted inspections
- Data preparation and image quality management
- Practical: Collecting and preparing inspection datasets
Module 3: AI-Powered Facility Condition Assessment
- Defect detection and classification techniques
- Identifying structural and operational issues
- Automated condition scoring and reporting
- Practical: Assessing sanitation facility conditions using AI tools
Module 4: Monitoring, Analytics and Decision Support
- Performance monitoring dashboards
- Infrastructure asset management systems
- Data visualization and reporting
- Case Study: Predictive maintenance for sanitation facilities
Module 5: Implementation, Governance and Scaling
- Integrating computer vision into sanitation programmes
- Data governance, ethics, and privacy considerations
- Change management and organizational readiness
- Practical: Developing an implementation roadmap
Where the change lands
Individual Impact
- Enhanced skills in computer vision and AI applications
- Improved capacity to assess and monitor sanitation infrastructure
- Stronger competencies in digital asset management and analytics
Organizational Impact
- Improved sanitation facility monitoring and maintenance planning
- Enhanced operational efficiency and service quality
- Better evidence-based decision-making and resource allocation
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Computer Vision for Sanitation Facility Condition Assessment in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.