Road accidents are on the rise, especially in countries like Pakistan. This often occurs when someone disregards or violates the law, resulting in the loss of precious lives and property. The roads are designed for rapid transportation, but not all vehicle types are permitted, requiring proper care when entering. In this research, we have explored using AlexNet to detect vehicles not allowed on the Pakistan Highway. A live sensor will monitor each vehicle as it enters the highway, and when a forbidden vehicle attempts to enter, the sensor will automatically alert the relevant authorities. Recent research has developed various strategies for categorizing and identifying vehicles using numerous machine learning techniques, particularly deep learning. Compared to other technologies, CNN and its variations have proven most effective in identifying vehicles in both still and moving images. We employed AlexNet and LeNet to identify outlawed/banned vehicles on highways using deep learning techniques. The sensing system can be integrated with IoT mechanisms.