Automated laryngoscopes enhance airway management by enhancing intubation accuracy and safety, particularly in difficult cases. The technology aims to reduce reliance on operator skill, and intubation is made safer and more reliable in emergency situations. Automated laryngoscopes distinguish from conventional devices in employing AI and machine learning for real-time feedback and enhanced airway visualization. Image detection and recognition from the mouth to the epiglottis is the first step using python. Motion integration to automate tube insertion along the lungs is a possible future research direction.