Bulletin 1

Bulletin 1

Moving from guesswork to data science

Moving from guesswork to data science

When a stringing crew steps onto the jobsite, lives and millions of dollars of equipment depend on one simple reality: the rope must do what it’s rated to do. For decades, that assurance has rested on human visual inspection - an experienced eye, a working rule of thumb, and a lot of faith. But faith is a fragile safety strategy. It’s time to move from guesswork to data science.

The limits of human visual inspection

Visual inspection remains an important first line of defense. The Department of Energy’s review, The Role of Visual Inspection in the 21st Century, makes clear that inspection is still essential, but also that unaided human inspection has predictable limits: perception, attention, line-of-sight and fatigue all erode accuracy over time. In the field those limits matter: a person can only see one side of a moving line, subtle wear is easy to miss, and speed and working conditions shorten attention and increase error.

Scope’s own studies put hard numbers behind this intuition. When people are asked to predict rope break strength by visual inspection, error rates are shockingly high - between 30% and 50%. In other words, nearly one in three to one in two human estimates will be materially wrong. For safety-critical work, that level of uncertainty is unacceptable.

A different approach: objective, repeatable, data-driven inspection

Computer vision and data science change the inspection equation. Scope’s system is built specifically to replace subjective judgments with objective measurements:

  • Predictive accuracy  //  Scope predicts break strength to within ±5% of the actual break strength. That level of precision is the difference between guessing whether a rope is “probably OK” and knowing whether it’s safe for a planned pull.

    Defect detection  //  Scope has demonstrated >99% accuracy identifying cut strands, splices, and debris - defects that are commonly missed or underestimated during a hurried walk-down.

  • True 360° coverage  //  Unlike a person who can see only one side of a moving line, Scope surrounds the rope with cameras, inspecting every side continuously.

  • Real-world speed  //  Scope inspects accurately at speeds up to 8 mph, far faster than a person can safely and thoroughly inspect a moving line.

Combined, those capabilities convert inspection from an episodic, subjective check into continuous, repeatable, auditable data.

Why better inspection changes outcomes on the stringing job

Two things happen in the field that make objective inspection critical:

  1. Ropes wear down in service. Scope inspections show that 23% of lines in operation are at or below 60% of their rated breaking strength - meaning almost a quarter of ropes in use have lost 40% or more of their original strength. Crews and planners who assume nominal strength are often wrong.

  2. The full-reel fallacy. Too many tension calculations assume the reel is full - and therefore that the rope can carry the planned maximum tension. In reality, as a reel is depleted, dynamics change; when a rope is already worn, the margin for error disappears. The full-reel fallacy paired with degraded rope is a disaster waiting to happen.

Put bluntly: worn rope plus optimistic assumptions equals preventable failure. Objective, quantitative inspection gives safety managers the facts they need to size pulls correctly, retire compromised lines, and prevent shock-load scenarios.

From complacency to compliance: how utilities can demand better

Utility companies do not have to accept a status quo built on guesswork. The industry can, and should, redefine what “safe rope” means, and put objective inspections at the center of a defensible safety program:

  • Redefine safe rope quantitatively. Move from visual pass/fail judgments to data-driven thresholds (for example, minimum percent of rated break strength, verified by measurement).

  • Make inspections objective and auditable. Automated, camera-based inspection creates records that can be reviewed, trended and tied to operational decisions and maintenance schedules.

  • Treat stringing lines as assets. Track rope condition over time, plan retirements based on measured degradation (not calendar age or feel), and budget proactively.

  • Require shock-load readiness. Insist that lines be objectively verified as capable of handling potential shock loads before critical pulls.


When utilities require measurable proof that a rope is capable of its intended use, everyone benefits: crews are safer, planners can design pulls with confidence, and the company reduces liability and downtime.

Conclusion — demand the facts

The choice is straightforward. You can continue to rely on human perception, limited by angle, speed, fatigue and wide error bands, or you can insist on repeatable, high-fidelity data. Scope’s computer-vision approach turns inspection into a science: accurate break-strength prediction, near-perfect defect detection, 360° coverage and inspection at operational speeds.

If nearly a quarter of lines are already operating at 60% strength or less, and human estimates are wrong 30–50% of the time, the cost of inaction is unacceptably high. Utility companies can demand better - redefine safe rope, require objective inspections, and make shock-load readiness a non-negotiable part of every stringing operation. It’s time to move from guesswork to data science.

Scope.
Make every pull
a safe pull

Scope.

Make every pull a safe pull

Scope.

Make every pull
a safe pull