  Public space utilization is crucial for urban developers to understand how
efficient a place is being occupied in order to improve existing or future
infrastructures. In a smart cities approach, implementing public space
monitoring with Internet-of-Things (IoT) sensors appear to be a viable
solution. However, choice of sensors often is a challenging problem and often
linked with scalability, coverage, energy consumption, accuracy, and privacy.
To get the most from low cost sensor with aforementioned design in mind, we
proposed data processing modules for capturing public space utilization with
Renewable Wireless Sensor Network (RWSN) platform using pyroelectric infrared
(PIR) and analog sound sensor. We first proposed a calibration process to
remove false alarm of PIR sensor due to the impact of weather and environment.
We then demonstrate how the sounds sensor can be processed to provide various
insight of a public space. Lastly, we fused both sensors and study a particular
public space utilization based on one month data to unveil its usage.
