Towards the use of augmented reality techniques for assisted acceptance sampling

Abstract

Acceptance sampling is a statistical procedure for accepting or rejecting production lots according to the result of a sample inspection. Formalizing the concept of assisted acceptance sampling, this article suggests the use of consolidated tools for reducing the risk of human errors in acceptance sampling activities. To this purpose, the application of augmented reality techniques may represent a profitable and sustainable solution. An augmented reality–based prototype system is described in detail and tested by an experimental plan. The major original contributions of this work are (a) introducing the new paradigm of assisted acceptance sampling and (b) developing a preliminary application in an industrial-like environment. This application is a first step towards the realization of a complete assisted acceptance sampling system.