Technology

How AI camera systems support lift operations

Lifts, despite their ubiquity across construction, power services and manufacturing, can still be dangerous machines. There are no other ways to elevate cargo and personnel, but their safe operation relies on clear visibility and carefully communicated protocols, neither of which is guaranteed on busy worksites.

Even the most structured plans are at the whim of foot traffic, weather and environmental changes. Those in the cab and stationed in the area see only part of the picture at any given time, making it hard to predict when a team might need grounding and when they can resume work. Clarity keeps teams informed and makes for smarter, safer decisions through collaboration and awareness.

The pitfalls of poor visibility during lifts
It goes without saying that there are many types of lifts, and each has its own safety considerations. Although published in 2007, a comprehensive review of 35 years of third-party litigation involving crane and lift injuries found that several consistent factors posed the greatest risk across models and functions. Among the five listed prominent hazards was blind spots, an area that lift manufacturers struggle to account for in their designs, unlike the way they can add guardrails to carts for safer access.

Visibility concerns are unique in the number of knock-on effects they cause. Traditional mitigations involve verbal signals and amount to nothing more than an assumption of safety, resulting in:

-Lift interruptions
-Operations that frequently have to stop-and-start
-More pressure on crews to manually scope out the surroundings

The uncertainty can lead to delays, and even small ones can derail productivity and shift timelines.

Using cameras to support situational awareness
Central to the appeal of cameras in lift safety is the ability to provide a unified view. Instead of relying on several individual spotters, who then have to communicate potential complications to co-workers and make decisions on the fly, cameras give a single operator multiple perspectives that cover blind spots and entryways to exclusion zones. The shared context accelerates decision-making by eliminating secondhand information and guesswork, and clearly indicating when load paths are obstructed or when environmental conditions have changed.

Camera systems can:

Support safety in complex lifts
Tandem or multi-stage lifts present several visibility challenges, which cameras address by providing live feeds of work areas and intermediate spaces that loads pass over or through.

Enforce exclusion zones
Whether the lifts are part of a busy construction site or aiding public infrastructure repairs, ensuring the space remains free of traffic is vital for safety and productivity. Cameras stationed around all exits and entryways offer quick verification at a glance.

Improve coordination between teams
Radio instructions and hand signals work in a pinch, but they don’t provide shared references. Video feeds can be accessed remotely by operators in the air and on the ground, keeping all teams on the same page.

Offer documented learning opportunities
Footage reviews can identify near misses and safety concerns that went unnoticed, helping site coordinators improve planning and strategy based on current threats.

In reshaping how information is collected and communicated, cameras simplify day-to-day operations and improve decision-making in pivotal moments.

The practical improvements AI provides
Any job that requires a lift is bound to be a very boots-on-the-ground effort, so, understandably, AI’s place in the proceedings isn’t immediately apparent. Standard cameras provide visibility and enable the benefits listed above, but with multiple angles and time pressure, they produce more footage than any one person can realistically pay attention to.

AI camera systems improve operator capability by scanning footage in real time, using pattern recognition and object identification software to extract useful information. They reduce the need for manual screen staring, acting more as a support tool than an autonomous machine.

AI cameras provide several benefits over standard CCTV in lift operations, including:

Faster incident review
Unexpected stops and other interruptions can be quickly investigated through accompanying dashboards that automatically store, tag and timestamp footage for easy searching.

Early warning detection
AI algorithms learn and adapt over time. They can recognise signs that typically pre-empt incidents, giving operators and lift teams more time to react and potentially prevent a stoppage before it happens.

Easy handovers between shifts
AI can help supervisors create summaries and reports, so that newly arriving teams are kept up to speed on safety concerns and production pipelines. This is particularly useful for centralised observations, where multiple cranes are monitored from one location.

Supporting lift operations with AI cameras
Addressing visibility concerns makes lift sites safer and more productive. AI cameras help ease the logistical burden of monitoring multiple screens and provide additional information on threats and noteworthy developments, enhancing situational awareness that standard cameras cannot match.

AI requires thoughtful implementation on any site. Supervisors and operators need training and education to understand the technology’s limits and how best to utilise it in busy environments. At their best, AI cameras are not a crutch or a fundamental game changer; they help teams do what they already do, only better.

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