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The client
The client is one of Asia’s largest construction organizations and ranked among the world’s top contractors. It offers engineering, procurement and construction (EPC) solutions to execute large industrial and infrastructure projects from concept to commissioning on a turnkey basis with single-source responsibility. They needed a digital solution that could deliver real-time, non-compliance insights for their fabrication yard and construction sites enabling faster responses to remedy non-compliance.
Market trends in the construction industry
The construction industry is undergoing a critical transformation due to growing concerns around workplace safety, compliance, and operational efficiency. With stricter government regulations and growing public scrutiny, traditional safety monitoring methods are no longer adequate. As a result, the industry is increasingly turning to AI-driven video analytics—a shift that represents not just a technological upgrade, but a necessary evolution.
Despite growing interest, many construction firms are still unfamiliar with the concept of intelligent video analytics (IVA) advanced systems that use artificial intelligence to detect, analyze, and respond to safety incidents in real-time. These systems go far beyond basic surveillance, offering automated detection of hazards such as personal protection equipment (PPE) non-compliance, unsafe behavior, or restricted area access, all while minimizing human error and significantly reducing the burden of manual monitoring.
Market adoption is accelerating as AI-powered surveillance solutions prove their value in delivering faster incident response, improved compliance, and reduced downtime. In particular, the demand is rising for scalable, vendor-agnostic solutions that integrate seamlessly with existing surveillance infrastructure—allowing construction firms to leverage current investments while stepping confidently into the future.
Thus, intelligent video analytics is not merely a trend—it is the next step in the evolution of construction safety. Companies that embrace this shift today will lead tomorrow’s safer, smarter, and more efficient job sites.
LTIMindtree’s solution
We created an AI-powered intelligent video surveillance and analytics solution to improve safety monitoring at construction sites. It accelerated the rectification of non-compliance safety instances, enabling proactive safety for the client. Key aspects of the solution included:
- Installation of 45+ cameras at the fabrication yard expanding their infrastructure.
- Data captured from different components of each fabrication machine in the fabrication yard were fed into a database utilized for intelligent video analytics.
- The solution compared data captured in real-time with historical data and identified the data category—normal range, threshold, or danger zone.
- Based on data categorization, our AI models triggered a response visible through our web portal.
- Automatic email notifications to the relevant team enabled faster responses to rectify non-compliance instances.
- Iterative analytics ensured steadily improving accuracy each time a trigger was created.
- Our AI engine also performed conditioning monitoring and predictive maintenance based on the data models we created.
- The solution was vendor-agnostic—it was compatible with all original equipment manufacturers (OEMs) cameras that are Open Network Video Interface Forum (ONVIF) compliant. Hence, compatibility was not an issue, and it augmented the client’s existing infrastructure.
- The solution’s modular architecture enabled adding new non-compliance detection models easily.
- Due to its modular nature, the solution could also be customized as per the customer’s requirements.
Tech stack
| Artificial intelligence (AI) engine |
| Web portal |
| Database management |
| ONVIF compliant cameras |
Benefits
Our AI solution with intelligent video analytics improved safety at the client’s construction site and fabrication yard. Some of the benefits included:
- 10,000 instances of non-compliance enabling proactive safety.
- Near real-time detection of safety non-compliance instances enabled quick responses.
- Expanded visibility by supporting simultaneous multi-zone analysis of incoming video feeds.
- Ease of scalability as the modular solution architecture enabled both vertical and horizontal scalability.
- Seamless processes for surveillance, identification of non-compliance instances and rectification of these instances.
Expedited employees research
The various bots such as chat bot, HR, Policy, etc. accelerated research and development by automating tasks, analyzing data, generating new ideas and enhancing collaboration. This ultimately increased the overall productivity and efficiency through various automations and process optimizations.
Streamlined design review processes
- Reduction in cycle time for job approval from 12 days to < 1 day.
- Cost reduction from $250 to $25 (potential savings of $90,000 per year).
Automated expense reviews
Automated the reviews and categorization of $7000 expenses per month.
Reduced calls to the service desk
Reduction in user calls to the service desk team led to a significant reduction in labor cost. The bot handled an increased volume of transactions by crawling 1400 articles.
Accelerated legal processes
Reduced the time taken to identify relevant policies to build a strong case from 4 hours to < 1 hour.
Greater productivity for marketing
Increased productivity by reducing the time taken to identify target audience and draft personalized campaign emails.
Faster resolution for outages
Better availability of live outage data to take further actions and reduce the overall resolution time
Improved scalability for procurement
Increased the volume of audited purchase orders from 30 per month to 1250 per month.
Massive cost savings for the rates and regulatory team
- Better information, use of past decisions and awareness of past arguments are estimated to cost recovery of $0.75 to $2 million per year.
- Automatic generation of word document template saved approximately 125 hours/year (2500 data requests with an average of 3 minutes per template).
Talent acquisition savings
~$200,000 saved annually by reducing the candidate hiring process to 3 days.Conclusion
LTIMindtree’s AI-powered video monitoring solution transformed the client’s approach to safety compliance and enabled proactive safety through the adoption of AI in the construction industry. By automating real-time detection of non-compliance instances and ensuring prompt corrective actions, the solution significantly improved workplace safety while reducing monitoring costs. The scalable, modular design of the solution allowed for easy expansion and customization, making it a future-ready tool for evolving safety requirements. Thus, AI and intelligent video analytics will play a crucial role in the future of transforming workplace safety across the construction industry.
Are you looking for an AI-based surveillance safety solution for your organization?
Reach out to us at mfg.communications@ltimindtree.com
