Bees perform a waggle dance to advertise food locations to follow bees. This dance encodes a lot of different information, including distance and direction from hive to food source. Decoding this dance has been the subject of study for longer thatn the past five decades. In order to study dance properties detection and decoding of a dance had to be done by hand. The Waggle Dance Detector offered the first automated real-time detection and decoding of dances. This thesis delivers an improved approach to dance orientation decoding for the Waggle Dance Detector.