In the bridge inspection, the information of cracks is important to maintain a bridge. Therefore, automatic crack detection is highly desirable for efficiency and objectivity of crack assessment. However, in the past, many countries relied on manual bridge crack detection, using large equipment like bridge trucks to position personnel beneath the structure for inspection. This approach was labor-intensive and time-consuming, with no guarantee of worker safety, and was prone to diagnostic errors. To address this, the GeoSitter Vision-Robot (Machine Vision) provides an intelligent, automated monitoring system that enhances the accuracy of crack detection and is particularly effective for monitoring bridge displacement and settlement. Then this paper will explore the practical applications, monitoring principles, and features of this system, showing how it provides precise, real-time data for the safety and stability of critical infrastructure like bridges.

What is the GeoSitter Vision-Robot (Machine Vision) in Automatic Inspection of Bridges and What are Its Applications?

The GeoSitter Vision-Robot is a high-precision measuring instrument that uses machine vision measurement technology to monitor the displacement changes on the surface of structures. The machine vision technology is an image processing and analysis method that simulates the function of the human eye. It captures target images through devices such as cameras, then uses advanced image processing software to analyze the images and identify features and patterns. The application of this technology in the structure's surface, like bridge inspection, helps engineers detect subtle deformations, cracks, displacements, and other issues that may be hard to notice, thereby ensuring the safety and stability of the bridge.

What’s the Measuring Principle of  GeoSitter Machine Vision System- Vision-Robot (Displacement Meter)? 

The GeoSitter Vision-Robot (Displacement Meter) utilizes a "machine vision displacement measurement" approach. Through applying targets on the structure's surface, the system’s machine vision camera captures target images and analyzes their displacement through advanced algorithms. This displacement is converted from image space to real-world measurements, accurately reflecting the structural movement. This method not only enhances flexibility but also reduces costs, as it relies on contact-free technology and reduces the need for extensive setup.

5 Key Features of the GeoSitter Machine Vision System (Vision-Robot)

1. Extremely High Precision
   GeoSitter Vision-Robot achieves remarkable accuracy using sub-pixel image algorithms, allowing it to deliver real-time outputs with precision levels as fine as 0.02mm. This high degree of accuracy is crucial for identifying even minor shifts in structural displacement, enabling proactive interventions before issues escalate.

2. Dynamic Sampling
   Equipped with a high-speed array CCD, the system can sample data at frequencies up to 50Hz. This high sampling rate is especially useful for monitoring dynamic structures exposed to varying loads, such as bridges and high-rise buildings, where frequent data capture is essential to track real-time changes.

3. Multi-Point Monitoring with a Single Device
   Each unit can monitor up to 30 measurement points in two dimensions, providing comprehensive data with just one setup. This capacity minimizes the need for additional equipment, making the system an economical and efficient choice for large structures with multiple critical monitoring points.

4. Simple and Non-powered Target
   The GeoSitter Vision-Robot uses non-powered targets that do not require wiring or power sources. This setup greatly simplifies on-site installation, reducing time and labor costs. Non-powered targets make it easy to position them on various parts of a structure, without having to worry about power access, ensuring maximum flexibility.

5. Extended Monitoring Range
   GeoSitter Vision-Robot offers a monitoring range of 1 to 500 meters, depending on the lens focal length used. This wide range allows the Vision-Robot to cover large structures or monitor from a safe distance, ideal for projects where access to certain areas may be restricted.

Case Study for Bridge Monitoring

A major bridge was equipped with the GeoSitter Vision-Robot to ensure its safety and stability as it serves a critical transportation role in the region. Targets and cameras were strategically installed on the main bridge structure to provide 24/7 real-time monitoring of displacement and settlement.

The monitoring data was continuously analyzed and compared to predictive models, enabling engineers to identify any early warning signs of structural stress or damage. This timely data allowed for rapid response and necessary preventive measures, avoiding potential structural failures and ensuring public safety.

Installation Considerations
Installing the GeoSitter Vision-Robot on such a large structure required attention to precise target placement and camera positioning. Target lights were secured to reliably reflect changes in displacement at specific points, while reference targets were used to calibrate measurements accurately. Additionally, cameras were carefully stabilized to capture all target lights effectively, with adjustments made to keep targets centered within the image frame. These steps helped maintain data accuracy and reliability throughout the monitoring period.

Customized Monitoring Software Help Machine Vision Devices Realizes Intelligent Remote Monitoring

GeoSitter Monitoring Data Platform developed by professional engineers and product managers with over 10 years of industry experience from the GeoSitter technical team, can seamlessly connect monitoring instruments like the machine vision device, GeoSitter Vision-Robot for efficient analysis and access, enhancing equipment utilization. Data from the monitoring instrument can be easily and intelligently managed. For more features about GeoSitter Data Platform, you can refer to our data platform page.

Conclusion

The GeoSitter Vision-Robot represents a significant advancement in smart monitoring technology for infrastructure. With its high accuracy, real-time sampling, multi-point capabilities, and easy installation, the system is well-suited for a wide range of applications. In bridge monitoring, it plays a crucial role in ensuring structural stability and public safety by delivering precise, actionable data that enables timely interventions.

As technological innovation progresses, we can anticipate even broader applications of such machine vision systems in infrastructure monitoring, further enhancing our ability to maintain safe and resilient structures. The GeoSitter Vision-Robot is setting a new standard for proactive, intelligent infrastructure management, making it a valuable tool for modern engineering and construction projects.