The research presented in this paper focuses at the human detection means for lighting areas. In particular, analysis of output sensors signal and software signal processing, analysis of ambient conditions influence on detectors functionality is given. The performed research is based on experiments, conducted at the Future Internet Lab Anhalt. The main goal of this paper is development of the human detection module for a SmartLighting system that satisfies a set of requirements of reliable human object detection. The given tests have been performed using ultrasonic, radio wave and infrared sensors. The analysis of the performed experiments allows us to define a degree of sensors conformance for the aimed SmartLighting applications. As the result of the performed experiments it is also shown that the combination of different detectors provides the most informative parameters about moving object in a control area than any considered single detection method. The hardware design and signal processing algorithm of the detection module have also been implemented in the course of this work. We found out that the sensors combination provides an error probability of less than 1% of human movement detection at distances up to 10 meters.