Structural health monitoring (SHM) of important structures such as bridges, skyscrapers, and tunnels are gaining attention due to the feasibility, availability, and prodigious development of data acquisition systems (DAQ) as well as various type of sensors. However, in order to get the most out of the sensory information/technologies an appropriate monitoring and management strategy is inevitable. Thus, this study focuses into identification & monitoring strategy by deploying a multi-sensors approach on a laboratory scale prototype bridge. The enforced sensors include directly mounted sensors like: (i) accelerometers, (ii) distributed strain sensing (DSS) systems, (iii) remote sensing techniques based on camera video streams, and (iv) laser distance meters. To attain the goals of this study, initially, the measured data of different sensors are evaluated and the results are prepared to interpret the performance of the sensors. Later, the crucial dynamical results in time and frequency domains (e.g. eigenfrequencies) of the tested bridge have been assessed for all sensors type. In a nutshell, the response observed via those sensors provides useful information which are essential for monitoring and assessments. Even though, any of those sensors are capable of measuring dynamic responses but accuracy and reliability might be a concern. Hence, a multi-sensor strategy would be beneficial for a flawless monitoring strategy to deal with various uncertainties (i.e., noise, resolution, measurement error) of the sensors. More specifically, monitoring with a multi-sensor strategy will be advantageous when accuracy is concerned (e.g. data-based model, feedback-loop) along with the complexities induced by extreme vibration.