ai-powered-inspectassist-from-gNext-auto-defect-detection-and-quantification

Inspect Infrastructure in Less Time with AI-Powered InspectAssist™

gNext customers now have access to InspectAssist™️, our AI-powered tool that streamlines the inspection process for concrete structures (and coming soon to other asset types!).

We are excited to share how gNext InspectAssist can make infrastructure inspections easier and more efficient.

Here are some examples of how it can help:
– Reduces physical and manual inspection time
– Enhances inspection efficiency
– Detects and quantifies defects
– Increases accuracy and safety
– Helps prevent infrastructure failures and
– Delivers results that fit into existing workflows

Keep reading to find out how each of InspectAssist’s benefits can help you in your infrastructure inspections.

AI-Powered InspectAssist™ Benefits for Infrastructure Inspections

While the AI assistant is currently available for concrete bridges, dams, and airport runways, gNext is constantly working to expand to other asset types. Let’s explore how gNext InspectAssist can drastically cut down on inspection time.

Reduce Physical and Manual Inspection Time

Traditional inspection methods often involve extensive physical labor, potentially including rope access to every structure section. With InspectAssist, manual efforts are dramatically reduced.

gNext InspectAssist pinpoints defect areas through digital inspections, allowing inspectors to focus their physical assessments only on these identified spots. This targeted approach reduces overall inspection time and enhances productivity.

InspectAssist can detect defects like cracks, spalling, efflorescence, exposed rebar, vegetation encroachment, and prior patches without requiring exhaustive manual labor.

This tool automatically locates and annotates these issues through images, providing a comprehensive overview that inspectors can swiftly act upon.

MDTA Bridge AI

The video above shows that the AI-driven InspectAssist detects patches, cracks, and spalling on this concrete bridge. Manually, finding and quantifying the defects would have taken a lot of time, but now it’s done automatically.

Enhance Digital Inspection Efficiency with AI-Powered Defect Detection

InspectAssist reduces digital inspection times by auto-detecting defects within captured images. Unlike traditional methods, where inspectors must manually examine each image for faults, this tool processes data rapidly to highlight and measure problem areas.

Quickly identifies spalling regions.
Review spalling defects found by InspectAssist. It’s also been automatically measured.
Crack defect that’s been quantified by width, length, and surface area.

Detect and Quantify Defects

Only gNext has the unique advantage of efficiently detecting and quantifying defects. Users can export results to popular CAD systems and CSV files to tabulate results.

The video below shows the defect summary table, which tallies and categorizes the defects and provides a color-coded legend. Once you see the asset, you can zoom into InspectAssist’s defects and review them in detail.

Quantifying Example
This is what InspectAssist’s findings look like when exported from gNext.

Increase Accuracy and Safety

Accuracy is paramount in infrastructure inspections. Manual errors can lead to overlooked defects that compromise structural integrity over time. InspectAssist mitigates this risk using algorithms that improve detection accuracy beyond human capability.

Safety is significantly enhanced as fewer physical interactions with potentially hazardous sites are required:

  • Reduces Scaffolding: Fewer scaffolding setups are needed to minimize risks associated with working at heights. Manual inspections require extensive scaffolding to access all areas, but drones can cover large areas and pinpoint defect locations.
  • Reduces Climbing: There are fewer instances where inspectors need to climb unsafe structures. Traditional inspections require inspectors to climb extensively for thorough checks; now, they can focus only on identified defect areas.

This reduction in direct contact safeguards inspectors and streamlines the entire maintenance workflow. By using drones and InspectAssist’s defect analysis, the process becomes more efficient and safer, as climbing and rope access is limited to specific defect zones only.

Prevent Infrastructure Failures

Regular inspections facilitated by our AI-powered tool make routine maintenance less resource-intensive while ensuring robust monitoring systems are in place.

gNext keeps a comprehensive digital record of all inspection reports by keeping a digital log. Consistent monitoring helps preemptively address potential failure risks before they escalate into critical issues.

How to Use gNext’s AI-powered InspectAssist™

Implementing InspectAssist is straightforward since it’s now available in the gNext Platform for concrete structures.

InspectAssist has been available for infrastructure like bridges, bridge decks, and cooling towers— and is now available for dams and airport runways.

gNext is constantly innovating and developing new AI catalogs for additional structures, such as cell towers, electric grid energy infrastructure, and more.

Airport runways in gNext, the most recently released asset type with InspectAssist. Credit: TDOT Aeronautics Division, Christopher Starr.

To use InspectAssist optimally, follow standard data collection procedures while capturing images or videos. Ensure minimal shadows (overcast days are preferred) and overlapping images for best results.

Bridge captured by Burgess & Niple Engineering and Architecture Firm, showing the data collection paths.

AI is Evolving in the Infrastructure Industry

The infrastructure industry has faced significant challenges recently due to aging critical infrastructure. Critical pieces of our society’s infrastructure require maintenance and eventually must be replaced, but there is a growing maintenance backlog.

There is an urgent need for more efficient, accurate inspections, and that’s where artificial intelligence (AI) and drones can help.

Incorporating AI enhances the inspection industry by automating data collection, enhancing analysis, improving safety, and increasing efficiency. Its ability to provide predictive analysis and precise defect detection drives the infrastructure industry toward more proactive and cost-effective maintenance strategies.

In addition to adopting AI for infrastructure inspection, it’s good to remember that traditional inspection methods can be labor-intensive, time-consuming, and prone to human error. Timely and accurate infrastructure inspections are crucial to maintaining safety and functionality.

Integrating drones and AI technologies marks a significant evolution within the infrastructure industry. These advancements facilitate more frequent inspections at reduced costs while enhancing data accuracy—a trend likely to continue as technology evolves.

InspectAssist™ for Your Organization

As AI technology advances, its role in infrastructure inspection is expected to grow, leading to more significant improvements in infrastructure management and safety.

gNext’s AI-powered InspectAssist offers substantial benefits by reducing inspection times, increasing accuracy, improving safety protocols, and preventing potential infrastructure failures through proactive maintenance strategies.

As we look towards expanding its application across various industries—including telecommunications and electric grid energy infrastructure—InspectAssist remains at the forefront of revolutionizing infrastructure management practices globally.

Get ahead with smarter inspections today—schedule your demo now!

Similar Posts