Human-animal collisions are becoming more common, and + there is a rising need for efficient ways to create systems that can promptly alert drivers to potential animal collisions. Street dogs, cats, cattle, pigs etc. are commonly seen in our streets and are reasons mainly for accidents. Peacocks were also reported to cause many major accidents for two-wheeler riders since it files at low altitude. Potholes and speed breakers that are difficult to notice also contribute to major accidents in roads. The intensity of these accidents were high especially during night times since it is very difficult to trace these animal crossing. Hence an effective model is required to quickly and accurately detect and alter the driver about animal crossing. In this paper we have created an effective ensemble simulation model that will detect animals using thermal images.