…Engineering professionals examine how autonomous technologies can improve maintenance, detect structural defects and reduce workplace hazards

Engineering professionals have called for greater adoption of drones, robotics and computer vision to improve infrastructure inspection and maintenance in Nigeria, as concerns persist over the safety and reliability of critical national assets.
The call came during the Nigerian Institute of Electrical and Electronic Engineers (NIEEE) Diaspora Chapter’s 1.5 edition of its Monthly Webinar/Lecture Series, held virtually on Saturday, October 3, 2026.
The event, themed “Autonomous Inspection: Using Drones, Robotics, and Computer Vision to Make Infrastructure Safer,” brought together engineers, researchers and technology professionals to examine how intelligent systems could transform the inspection of roads, bridges, electricity installations, telecommunications networks, industrial facilities and other essential infrastructure.

Delivering the principal presentation, Seyi Ayeni, a Principal Solutions Architect with extensive experience in software engineering, cybersecurity and enterprise infrastructure, examined how autonomous technologies could help engineers detect structural deterioration while reducing exposure to hazardous working conditions.
Ayeni explained that conventional infrastructure inspection often requires engineers to access elevated structures, confined industrial spaces and other environments where direct human intervention presents significant risks.
He discussed how drones equipped with cameras and specialised sensors could collect inspection data from difficult-to-reach locations, while robotic platforms could perform assessment tasks in environments unsuitable for routine manual inspection.
“Autonomous inspection is fundamentally about making infrastructure inspection safer, smarter and more repeatable. The objective is not to remove engineers from the process, but to give engineers better information and better tools to make decisions,” Ayeni said.

Technology and the Future of Infrastructure Maintenance

A major focus of the lecture was the application of computer vision to engineering inspection.
Computer vision systems use artificial intelligence and machine-learning techniques to analyse visual information, allowing engineers to identify cracks, corrosion, structural deterioration and other abnormalities captured through cameras and inspection sensors.
Ayeni examined how these technologies could support a transition from reactive maintenance, where defects are often addressed after becoming serious, to preventive and predictive approaches based on earlier detection and continuous monitoring.

For infrastructure operators, the ability to identify deterioration before equipment failure could improve maintenance planning, reduce operational disruptions and support better allocation of engineering resources.
The discussion also highlighted the importance of maintaining accurate digital records of infrastructure conditions.
Information collected through drones, robotic systems and other sensors can be analysed and compared over time, enabling engineers to identify changes in asset conditions and determine when further assessment or maintenance is necessary.

“A drone, robot or computer-vision platform is only as valuable as the information it produces and the decisions that information enables,” Ayeni stated.
He explained that successful deployment requires appropriate sensors, reliable communications, accurate data collection, robust artificial intelligence models and qualified engineering professionals capable of interpreting the results.

Engineering Expertise Behind the Presentation

Ayeni brings more than 17 years of professional experience across financial technology, cybersecurity, software engineering, data analytics and enterprise infrastructure.
He previously held technical responsibilities at the Central Bank of Nigeria, contributing to enterprise technology solutions supporting institutional operations and financial-market systems. His experience spans information security, infrastructure management, software development and data engineering.
He holds a Bachelor of Science in Computer Science from the University of Ilorin and a Master of Science in Applied Analytics from Columbia University, New York, where he currently works.

His professional interests also extend to the cybersecurity of critical infrastructure and cyber-physical systems, areas increasingly relevant as infrastructure operators integrate intelligent equipment with interconnected digital platforms.
Drawing on this multidisciplinary background, Ayeni examined autonomous inspection not merely as a replacement for manual observation but as an engineering process requiring reliable technology, accurate analysis and informed professional judgment.

NIEEE Diaspora Chapter Reviews Impact of Previous Webinars

Speaking during the programme, Engr. Wale Olaluwoye, FNIEEE, Chairman of the NIEEE Diaspora Chapter, reflected on previous editions of the chapter’s webinar series and their contribution to professional knowledge sharing.
He discussed the impact of the lectures in exposing engineering professionals to emerging technologies, international engineering practices and practical approaches to addressing Nigeria’s development challenges.
The chapter’s continuing webinar initiative provides opportunities for professionals to exchange technical knowledge and examine innovations with potential applications across different engineering sectors.

Contributions from professionals during the session also addressed the importance of developing local expertise in the deployment and management of advanced engineering technologies.
The discussion recognised that adopting autonomous systems requires more than purchasing sophisticated equipment. Engineers must possess the competence to design, calibrate, operate and maintain such systems while ensuring that inspection findings are interpreted within appropriate technical and regulatory requirements.
Participants also examined challenges associated with the adoption of autonomous inspection, including deployment costs, cybersecurity, data management, regulatory compliance and the availability of specialised technical skills.

Building Safer and More Reliable Infrastructure

The webinar underscored the potential of autonomous inspection to improve the monitoring of Nigeria’s critical infrastructure, particularly assets located in hazardous or difficult-to-access environments.
By combining drones, robotics, computer vision and professional engineering expertise, infrastructure operators could improve the consistency of inspections, identify defects earlier and reduce unnecessary human exposure to dangerous conditions.

The October 3 session continued the NIEEE Diaspora Chapter’s professional knowledge-sharing programme, linking emerging technological developments with practical engineering challenges.
For Nigeria’s infrastructure sector, the central message was that intelligent inspection technologies can provide engineers with better information and safer methods of assessing assets, provided they are deployed with appropriate technical competence, reliable systems and sound engineering judgment.