At the heart of the project is a live feed from a camera that initially captures an unknown street in its field of view. The live feed was found on a website that openly provides visitors with a vast archive of various cameras.
While some of these are public live streams, the site primarily features cameras that are privately owned and often stream their content publicly without the owner’s knowledge. Some are displayed on the website due to poor security or other errors (such as outdated software). This makes the devices vulnerable, and their private streams appear publicly on the aforementioned site.
„testimony of an image“ focuses on one such camera, which, according to the GPS data provided by the website, is located in Plzeň. However, the site warns that the given location is only approximate and may differ by hundreds of kilometers.
The aim of the project was to localize this camera using various methods and to document and present the entire process of image archeology. The research involves collecting digital data hidden within the live feed, using it to gather a wealth of information that aids in the geolocation of the scene. It also employs additional Open-Source Intelligence (OSINT) methods.
The work consists of two parts: a physical installation that serves as proof of the final discovery of the location, and a website that presents the entire process and all the methods of image archaeology used to find the scene.
- >Inkubátor Gallery, 2026
>Installation– Mobile fencing
– Mesh Banner - 220x190cm
– Website Essay
>Technique– Screenshot
– Google Street View
– Digital Photography
>Finals Project– Winter semester 2025– 2.BcA
In the first phase of the work, I focus on analyzing the scene.
Here, I break down the image into four essential parts:
>1.1 – A row of garages with blue doors – key reference point
>1.2 – Type of public lighting base – helps with localization (within city districts)
>1.3 – Municipal waste bins – the logo on the bin can be deciphered
>1.4 – Type of curb and sidewalk – helps with localization (within city districts)
>1.2 – Type of public lighting base – helps with localization (within city districts)
>1.3 – Municipal waste bins – the logo on the bin can be deciphered
>1.4 – Type of curb and sidewalk – helps with localization (within city districts)
These four points serve as the main elements of the scene throughout the development of the entire project. They act as anchor points that guide my search. Some of them, in combination with additional clues, gradually reveal new information helpful for the final localization of the scene.