RashCam

From the safety point of view, reckless driving is one of the most challenging and risky things that make headlines every year. It is also one of the things that parents tremble at when it comes to their children driving recklessly despite their advice not to do so. Drivers who are reckless when overtaking other cars turn into a danger to themselves and to others. There have been many road accidents recorded all over the world and even in some cases, fatal crashes occurred because of this kind of road behavior. When it comes to reckless driving, transportation companies, delivery service providers, and vehicle rental companies face financial expenses as well as the life of the driver if not the lives of the innocent people on the road.

Different companies use special tactics to overcome this issue which includes installing dash cameras or providing a public feedback number with the caption “how am I driving?”. These approaches come with their downsides as dashcam footage must be sought manually to detect driving events and public feedback numbers are not as trustworthy and cannot reflect the actual intensity of the reckless driving. It has been observed that most reckless drivers don’t own the vehicle. In which case, a simple automated reporting mechanism can drastically reduce the reckless driving patterns on the road.

We propose a smart dashcam equipped with state-of-the-art yet cheap and easily available sensors that can detect bad driving behaviors like speeding, aggressive driving, tailgating & hard cornering. With very little computational power we can easily detect these bad driving behaviors with astonishing accuracy. A huge amount of storage is required to store good quality videos which cost more storage space. To smartly manage, the storage RashCam has a built-in algorithm that can label different events with relevant importance scores. These scores can be used to remove less important footage in case of low storage, thus devices with a very small amount of storage can still accommodate important events for a long period of time.