Facial recognition is one of the many up-and-coming fields of computer science. There are a number of companies that are using it both commercially and for research. Alongside this trend, we are currently working on a project that utilizes this technology to simplify fleet vehicle driver tracking.
Fleet Vehicle Drivers
Big shipping companies have a large fleet of vehicles and drivers that drive shipments all over the country. These companies must keep track of the vehicles 
and their drivers to assure that the right person is driving each vehicle. In the past, drivers have had to carry key fobs to confirm their identity, but this can be expensive. Many companies are moving toward adding forward and cabin-facing cameras for use on the road. With the proper facial recognition technology, these cameras can be utilized for driver recognition which will cut down on cost.
Facial Recognition
The idea for this project is to have a database of faces for each customer to register their drivers with. Then, when someone gets into the driver’s seat, the cabin-facing 
camera captures the person’s face and compares it to the proper driver’s face in the database. If there isn’t a match, it will then alert the company that the wrong person may be driving that vehicle. This will be useful in preventing everything from hijackings to drivers accidentally going to the wrong vehicle.
Project Team
We are very excited for this project. Our team has had a focus on various fields of computer science for a number of years. Some of us already have experience with computer vision and image recognition which is very helpful in getting us started. Between the lot of us, we have participated in the development of a number of different projects ranging from video game development to other various database and web applications. We are a dedicated group that is very excited to bring this product to fruition.
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