Various applications following the Internet of Things (IoT) paradigm have become a part of our everyday lives. Therefore, designing mechanisms for security, trust and privacy for this context is important. As one example, applications related to electronic surveillance and monitoring have serious issues related to privacy. Research is needed on how to design privacy preserving surveillance system consisting of networked devices. One way to implement privacy preserving electronic surveillance is to use tools for multiparty computations. In this paper, we present an innovative way of using garbling, a powerful cryptographic primitive for secure multiparty computation, to achieve privacy preserving electronic surveillance. We illustrate the power of garbling in a context of a typical surveillance scenario. We discuss the different security measures related to garbling as well as efficiency of garbling schemes. Furthermore, we suggest further scenarios in which garbling can be used to achieve privacy preservation.