The Future of Construction Technology: Maximizing IoT with AI

The market for IoT in construction is expected to surpass $60 billion by 2030. What’s driving this massive growth? Contractors are searching for ways to make faster decisions on the fly and support more robust progress tracking, safety protocols, and equipment management.

While construction sites have been deploying sensors and cameras for years, we are now entering a new era of construction technology. The real opportunity has emerged from pairing raw data derived from the Internet of Things (IoT) with AI-powered jobsite intelligence.

Here is how these two technologies are combining to create the era of smart construction.

Gaining AI-Powered Insights from Camera Feeds

Connected cameras deployed across a jobsite give project managers critical visibility into what’s happening in real-time. This is essential for superintendents and site leaders who face the challenging responsibility of managing multiple projects simultaneously.

Since you can’t be at every site at once, remote visibility is a necessity, not a luxury. If an issue arises on one site that demands their time, they still need to monitor progress at the others. However, nobody has time to sit and watch raw footage from dozens of camera feeds.

This is where the convergence of AI and construction technology becomes game-changing.

AI-powered jobsite intelligence solutions collect feeds from all connected cameras and distill that footage into actionable insights. Instead of driving from site to site to check ground or weather conditions, project managers can receive an automatic email update the moment the day starts in the form of a Morning Brief: AI insights reveal if conditions are safe for workers and review the previous day’s progress to help manage the schedule.

Intelligent Search & Security

Housing visual data in a smart construction platform gives project managers the ability to use AI-powered search to identify key moments instantly.

For example, if a security breach occurs, a superintendent needs clear documentation to resolve disputes or insurance claims. Rather than scrubbing through hours of video, they can:

• Search for footage from a specific time window.
• Search for a specific object (e.g., an excavator) to see when and how it was moved.

This data also illuminates long-term trends, such as equipment usage. AI insights help teams understand which equipment is used most often—indicating where it might be beneficial to purchase extra units—or track idle time to reduce unnecessary rental costs.

Trusting the Tech: Reliability in AI

While AI plays a key role in making IoT in construction actionable, the IoT devices themselves give validity to the AI’s findings.

Contractors are generally optimistic about construction technology giving them a competitive advantage, yet 57% remain concerned about the reliability of AI outputs. While workers should always review AI outputs (especially with text-based Large Language Models), there is significant comfort in using AI to interpret visual data.

Contractors know the inputs going into the model are their own camera feeds, capturing exactly what’s happening on the ground. The footage is right there to verify the insights, building trust in the system.

Using AI & IoT to Drive Proactive Safety

Smart construction isn’t just about efficiency; it’s about saving lives. The IoT is having a profound impact on driving stronger safety protocols.

Superintendents cannot have eyes on everything happening across one site, let alone three. Connected cameras paired with AI can point leaders to risks in real-time. For instance, if a worker is standing on a ladder without a hard hat, site leaders can receive an automated text message to locate the worker and remedy the situation immediately.

From Reactive to Proactive

While alerts are critical, it’s not always possible for a site leader to reach an at-risk employee instantly. This is where the industry will embrace wearable construction technology in the coming years.

Imagine a worker wearing a connected wristband that buzzes when they step too close to a ladder edge or into the path of a backing truck. This shifts safety from a reactive “catch” to a proactive warning.

With AI-powered insights, managers also gain an overarching view of safety trends:

• Identify Hotspots: See if there is a specific location where workers frequently ignore safety zones.
• Spot Workflow Gaps: Determine if specific tasks lead workers to forget safety equipment.

These trends help contractors combat risk and use data to refine safety training programs.

Data-Driven Progress

IoT in construction has the potential to collect massive amounts of data. However, data without interpretation is just noise. AI plays the key role in interpreting that data efficiently, ensuring contractors gain actionable insight to drive safer, more secure, and successful jobsites.

Learn more about how Sensera Systems’ jobsite intelligence solutions can help you maximize the power of AI and the IoT.