Event‐driven sensors are essential for real‐time applications, yet the integration of current technologies faces limitations such as high cost, complex signal processing, and vulnerability to noise. This work introduces a bio‐inspired mechanoluminescence visuotactile sensor that enables standard frame‐based cameras to perform event‐driven sensing by emitting light only under mechanical stress, effectively acting as an event trigger. Drawing inspiration from the biomechanics of canine teeth, the sensor utilizes a rod‐patterned array to enhance mechanoluminescent signal sensitivity and expand the contact surface area. In addition, a machine learning‐enabled algorithm is designed to accurately analyze the interaction‐triggered mechanoluminescence signal in real‐time. The sensor is integrated into a quadruped robot's mouth interface, demonstrating enhanced interactive capabilities. The system successfully …