This is simply our graduation project (Saif Jarrah and Edmond Shami) which got $21k in funding to continue its development. Tested at Hikma and Aramex, the device basically moves around the warehouse and uses multiple sensors to do auto-counting of inventory with wireless data transmission to the cloud. It still needs further work down the line.
Who needs 100% accuracy when 90% is more than enough? More often than not, practical, on the ground applications, that become very popular in use, depend on one simple algorithm that beats all complicated ones developed by scientists to impress other scientists. This is the story of someone who happens to be at the intersection of two important fields: engineering and data science. Let me tell you something, if I want to develop a complicated neural network that does the desired task with an added accuracy/efficiency of 5% I would drop the idea before I even start. Let me give you an example. Designing the fire alarm system is one of the most tedious tasks in engineering design. I heard so many ideas on how to automate the process by taking the dimensions of each room and make sense out of them, or at times, using machine learning to perform the task by gathering data from previous projects and so on. While these ideas make sense, they actually don't (for the time being). Sou