Measurement tasks that require specialised equipment and trained personnel can involve significant costs and time, especially when carried out in the field. Computer Vision models integrated into a mobile app make it possible to use a smartphone camera to capture the necessary images and automatically estimate focal length, without additional hardware. Measurement thus becomes a guided, digital process, with data immediately available for subsequent processing stages.<\/p>\n\n
Taking measurements outside an equipped environment may require specific instruments, trained personnel and procedures that affect the scalability of the process.<\/p>\n\n
Advanced smartphone cameras and the development of Computer Vision models offer a different approach to this type of task. The captured image is no longer merely visual documentation: it becomes the input from which the model can derive the measurement.<\/p>\n\n
The aim is to make the process more accessible and easier to use in the field, while retaining a guided procedure for collecting the necessary information.<\/p>\n\n
Step 1 \u2014 Guided Image Capture via Smartphone<\/p>\n\n
The mobile app guides users through capturing an image with the smartphone camera.<\/p>\n\n
During this stage, the system provides feedback on image quality, helping users capture an image suitable for subsequent processing.<\/p>\n\n
Image capture thus becomes an integral part of the measurement process.<\/p>\n\n
Step 2 \u2014 Estimation Using Computer Vision<\/p>\n\n
The image is analysed using Computer Vision models developed to estimate focal length.<\/p>\n\n
The measurement can therefore be obtained directly from the image captured with the smartphone, without specialised hardware.<\/p>\n\n
Step 3 \u2014 Digitising and Using the Data<\/p>\n\n
The measurement result is generated directly in digital form and can be made available for storage or use in subsequent processes.<\/p>\n\n
Processing can also be implemented on customer-owned servers, depending on the organisation\u2019s infrastructure and data management requirements.<\/p>\n\n
Measurements Available in the Field<\/p>\n\n
Using a smartphone makes it possible to take measurements without relying on a dedicated workstation or specialised equipment.<\/p>\n\n
Less Need for Specialised Hardware<\/p>\n\n
The smartphone camera becomes the image-capture tool required by the process, reducing reliance on additional devices.<\/p>\n\n
A Guided Process for Users<\/p>\n\n
Feedback on image quality supports users during capture and makes it easier to obtain the data needed for processing.<\/p>\n\n
Data Available Immediately in Digital Form<\/p>\n\n
The measurement is produced directly in digital form and can be stored or used in downstream processes without further transcription steps.<\/p>\n","protected":false},"excerpt":{"rendered":"
Measurement tasks that require specialised equipment and trained personnel can involve significant costs and time, especially when carried out in the field. Computer Vision models integrated into a mobile app make it possible to use a smartphone camera to capture the necessary images and automatically estimate focal length, without additional hardware. Measurement thus becomes a […]<\/p>\n","protected":false},"author":3,"featured_media":3349,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48,35],"tags":[],"class_list":["post-3348","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-for-energy-and-infrastructure","category-case-studies"],"yoast_head":"\n