Such food production facilities, which receive raw materials in the form of meat or fish products, are faced with an obligatory process - washing containers. The containers can be different (huge barrels, buckets, small boxes) and depending on the type of containers, pieceworkers are paid accordingly.
Before the system was implemented, data on the actual quantity of washed containers were obtained from the executives, which led to intentional and unintentional distortions. After the implementation of neural network video analytics, the customer began to receive data on employee output with an accuracy of over 98%. All the data was confirmed by slicing the corresponding video footage, which could be used on occasion.
According to the results of the CVC system operation, the overestimation of the wage fund by more than 40% was revealed. The economic effect for the enterprise was more than 5400 USD per month.