Propagation Saw Tests (PST) are designed to evaluate the propensity for a snowpack layer to fracture and potentially lead to an avalanche. The PST offers valuable insights into the snowpack structural integrity, identifying weak layers that may fail under stress. By simulating conditions that can lead to slab avalanches, the PST assists in understanding the complex dynamics of snowpack stability. Currently, however, the assessment of PSTs relies heavily on human observation, and given the limitations of our perception, we might be overlooking some critical elements. These elements could provide a deeper understanding of the propagation of rupture and layer identification. Could there be aspects that our naked eye cannot detect? We conducted PSTs utilizing infrared imagers and event-based sensors to capture detailed imagery of the snowpack. This innovative approach enabled the examination of information beyond the visible spectrum with a SWIR imager and the detection of micro-movements within the snow using an event-based sensor. SWIR imaging offers a groundbreaking method for analyzing snowpack layers, revealing critical details invisible to the naked eye. By capturing sunlight reflected off the snow's surface, SWIR technology can differentiate between various layers, identify moisture content, and uncover hidden structural features. This capability enhances information on the snowpack, potentially helping us to better identify the weak layer and understand its behavior. Event-based sensors, with their capability to effectively achieve an equivalent of 10,000 frames per second, offer an advancement in understanding propagation during PST. These high-speed sensors capture dynamic changes within the snowpack as fractures develop and propagate, providing detailed insight into the rapid processes and interactions that precede avalanche initiation. Our experiments with SWIR imaging and event-based sensors have unveiled new features that could be followed to better understand rupture propagation. This innovative methodology introduces new parameters for snowpack and PST analysis. Following these new parameters could improve knowledge of the weak layer and the propagation of rupture.