<p>Modern computing relies on separate components for data capture and processing. However, this often leads to computational latency and congestion in data processing infrastructures. Using device level demonstrations, in this work, we propose a phase-change computational sensor that utilizes reconfigurable load lines to perform in-sensor-in-memory computations. This is achieved through a combination of the crossbar topology of the sensor array and the non-volatile reconfigurability of conductance states in phase-change memory devices. We show that certain pre-processing computations, such as convolutional operations, can be offloaded from the in-memory processor to the sensor to create intelligent edge sensors.</p>