Mixer & Pack has become the first manufacturer of perfumery and home air fresheners to incorporate a neural network with a system of Deep Learning, which consists of self-learning from errors to rule out any damage that may be generated along the value chain and thus improve the ad hoc service they provide to their clients.
This artificial intelligence and vision system will be responsible for interconnecting the packaging lines and identifying defects in the products, previously undetectable by the human eye, through a camera, reducing times and achieving excellence in quality.
According to Sebastian Duran Girl, maintenance engineer for the designer, developer and manufacturer of perfumes for third parties, “the objective that Mixer & Pack sets with this solution is to improve the efficiency of the service we offer our clients, reducing the waiting times generated by quality inspections of our products, thus increasing the speed of our services, reducing delivery times and also raising awareness among workers about the importance of quality controls.”
