This paper presents a software framework for estimating the real-world dimensions of objects captured in video frames using monocular camera input. The system integrates feature tracking, multi-view geometry, and triangulation techniques to reconstruct 3D information from 2D video sequences. By incorporating a reference object for scale calibration, the framework enables accurate object size estimation without the need for specialized hardware. This approach is particularly suited for drone-based surveillance and automated inspection tasks in resource-constrained environments. The proposed solution concerns potential software strengths (in particular: hardware-independent object size estimation) that are expected to inspire usability-driven business process reengineerings, giving way to a cost-effective and less hardware-dependent real-time analysis for the benefit of decision-making in different application domains.