Abstract: A system and method for monitoring vehicle idling events using contextual information. Engine operational data from a vehicle is monitored to detect idling states. When a parameter of the idling state exceeds a threshold value, the system obtains contextual data associated with the vehicle including camera feeds, location data, and environmental conditions. The contextual data is analyzed to determine operational conditions during the idling event. Based on the analysis, the system categorizes the idling state and generates reports that include the categorization and operational conditions. The system enables real-time detection and analysis of idling events by incorporating multiple data streams to accurately determine whether idling events are productive or unproductive.