Trespassing Detection/Intrusion Detection
Using AI, cameras that are meant to protect against trespassers can finally do their job more effectively: self-calibrating as new data is introduced to focus on what is truly important.
Previous trespasser detection solutions often suffered from false positives as the previous systems could not be easily calibrated to environmental changes, such as a new wall being built. Besides, human-like features on common pests such as moths would also contribute in confusing cameras that should be focused on looking out for intruders. C&R created a system that simultaneously teaches itself to adapt to the monitored environment being changed, while also learning to ignore common sources of false trespasser detection.
