One of the key challenges for blind spot detection systems is the ability to detect and track objects in irregularly shaped regions. This problem becomes much more severe in addition to considering different vehicle velocities, motions due to other objects, and many different environmental conditions. Ordinary systems have fixed parameters for operating conditions, which either are slow or may not adapt to changeable driving scenarios. The proposed solution is an adaptive continuous monitoring approach that provides the defined polygons with the ability to report on any encroachments while giving a proximity risk based on context data. This real-time adaptability allows the system to provide accurate and timely notifications to the driver, thereby increasing the safety of critical events such as lane changes, parking maneuvers, or heavy traffic situations where blind spot threats are most prevalent. Initial results show that this adaptable system can outperform traditional precision and time response methods, improving overall safety while driving.