Identifying Safe Digging Zones With Computer Vision

Saira Gillani
2 min readSep 12, 2023

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Excavation is an important operation in many industries such as construction, infrastructure development, and utility maintenance. However, it comes with inherent risks, one of which is the potential damage to underground pipelines carrying vital resources like gas and water. Accidental damage to these pipelines can lead to hazardous situations, environmental damage, and costly repairs. So how to make this operation safer?

Identifying Safe Digging Zones With Computer Vision [Image Source: V.S. Kumar]

Excavation sites usually have demarcation to identify the safe digging zone. With computer vision devices such as those mentioned in my previous article, we can detect these marks automatically, and build an application which utilizes these to locate the ‘green’ zone for the excavator.

Here’s how such an application can be built and utilized:

  • Gather a diverse dataset of images from excavation sites. These images should include various lighting conditions, angles, and types of marks on the ground.
  • Train a detection model (such as the Yolov8) to recognize and locate the marks as well as other relevant features in the images.
  • Identify the safe digging zone by analyzing the location and direction of the marks.
  • Deploy on an Edge Device. This can be the Jetson Nano or the OAK-D camera. The camera can be mounted on excavation equipment or handheld devices for real-time image capture and analysis.

In addition to identifying safe zones, the system can be programmed to trigger alerts and warnings when it detects any anomalies or potential risks, such as the presence of underground pipelines that need extra caution.

Why is this important?

The significance of using computer vision techniques to enhance excavation safety cannot be overstated. Following is a brief list of benefits such an application can have:

  • Enhanced Safety: By automatically detecting safe digging zones, the risk of accidental damage to underground pipelines is reduced, minimizing hazardous situations and injuries.
  • Cost Savings: Avoiding damage to utility pipelines not only prevents costly repairs but also reduces downtime at excavation sites, saving time and resources.
  • Environmental Protection: Preventing leaks or spills from damaged pipelines helps protect the environment by reducing the risk of soil and water contamination.
  • Efficiency and Productivity: With real-time guidance on safe digging zones, excavation operators can work more efficiently, completing projects faster without compromising safety.

By automating the detection of safe digging zones and providing real-time guidance to operators, this technology can reduce the risk of damaging underground pipelines, ensuring safety, cost savings, and environmental protection. As technology continues to advance, integrating computer vision into excavation processes becomes an essential step toward a safer and more efficient future for the construction and utility maintenance industries. Let me know what you think about this application!

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Saira Gillani
Saira Gillani

Written by Saira Gillani

Data Science Enthusiast - Roboticist

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