The quick evolution of technology has made camera surveillance systems a common tool in wildlife conservation. Nevertheless, conventional systems are not able to cater to the ecological and behavioural requirements of animals, causing disruptions in their natural environment. This paper suggests a Wildlife-Friendly Camera Surveillance System that aims to reduce human interference while enhancing data collection efficiency. By combining non-intrusive technologies like infrared imaging, motion sensors, and AI-powered animal recognition, the system is set to offer an ethical and sustainable means of tracking wildlife. The research delves into the design, implementation, and possible contribution of such systems to biodiversity conservation, focusing on the equilibrium between technological advancement and ecological sensitivity.