Concrete structures typically show signs of deterioration after 40 to 50 years, emphasizing the importance of regular inspection and repairs to prevent accidents and safeguard infrastructure. Detection of cracks is a key diagnostic criterion for concrete structure degradation. While visual inspection is commonly used, it has drawbacks such as being time-consuming and prone to missing small cracks in large structures. Furthermore, the correlation between crack growth and temperature variations suggests that visual inspections may overlook cracks during contraction periods. This underscores the need for more efficient and comprehensive inspection methods to ensure the longevity and safety of concrete structures.
Traditionally, specialists inspect structures by visually identifying cracks, documenting their observations through sketches, and subsequently compiling inspection data. However, this method is not only time-consuming and expensive but also lacks precision in crack detection. The implementation of a compact and portable hardware device, featuring a suitable display, offers a transformative solution. Such a device facilitates the real-time presentation of crack data analysis results. Furthermore, the content generated on this computing module can be effortlessly duplicated or transferred to other edge devices, enhancing efficiency and enabling seamless data sharing across various inspection points. This highlights the crucial role of edge devices in streamlining and improving the crack detection process in structural inspections.
Choosing an open-source and open platform is crucial for the ease of algorithm deployment, subsequent batch deployment, and portability. Therefore, the Raspberry Pi platform became Naveen’s top choice. Seeed has been deeply involved in the Raspberry Pi field for many years and offers highly mature and reliable Raspberry Pi hardware products and solutions. As a long-term user of Seeed, Naveen did not hesitate to select Seeed’s reTerminal. It perfectly meets his requirements with its compact and portable size, high-quality screen display, and expandability. The Raspberry Pi CM4 solution ensures its reliability and performance.
Naveen built a surface crack detection application using machine learning. A pre-trained image classification model is fine-tuned using the Transfer Learning with the Edge Impulse Studio and deployed to the Seeed reTerminal (based on Raspberry Pi Compute Module 4) which detects surface cracks in real-time and also localizes them.
Seeed Studio's Raspberry Pi Ecosystem
Seeed Studio has been serving the Raspberry Pi user community since 2013 and took the lead to join the approved reseller and design partner. Since the first version of reTerminal in 2021, we have a series of products including reRouter, edge controller series, and this year reTerminal DM, serving creators, makers, enthusiasts, students, engineers, enterprises as well as industries, and every scenario needing Raspberry Pi.
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