One of the ways to enhance the efficiency of the cone penetration testing process is to mount modules behind the cone. In this way the test will not only generate the standard CPT data (i.e., cone tip resistance, sleeve friction, and dynamic pore water pressure) but also the data obtained by the module pushed into the soil together with the cone. While for certain modules it is common practice to analyse the acquired data extensively (e.g., the seismic module), for other modules this is not necessarily the case. A good example of the latter is the video module. When it is used to record fluorescence the analysis of the acquired data is often sweeping, such that the type as well as the relative concentration of the contaminant can be determined. When visual light is used the analysis is typically limited to viewing the recording and adding observation notes. During the recent TRIM4 research project, dealing with the Post-Mining Transition Information Modeling for Transition from Coal Exploitation to a Re-Vitalized Post-Mining Landscape, the video module was deployed and initial attempts were made to identify the soil type and to determine the grain size distribution using the video images. This approach mitigates the effect of the CPT data reflecting changes in soil behaviour characterization before a layer is actually penetrated by the cone. While the results obtained during the research project were promising, the work to characterize video images was continued. A major improvement in the characterization was the upgrade of the camera installed in the video module. In this paper the authors will provide an updated status report, describing in detail the analysis options they have identified for the video recordings. The paper will also describe the analysis method for each option as well as the current limitations.