The process of determining the working parameters of reverse bucket excavators is mainly consulted through the Ministry of Construction norm. However, in the era of industrialization and modernization, machine and equipment are increasingly modern and innovative, making the determination of excavator productivity or parameters through the regulations in the old norms unsuitable. Furthermore, updating the norms through data collected in the field take tremendous amount of time and procedures as it is labor intensive. Therefore, this paper proposes a vision-based analysis in calculating excavator productivity using image processing applications and coding language to automatically determine the excavator productivity and bring results on the basis of analysing big data collected from validated construction sites. To be specific, this paper introduces a new method in calculating the excavator productivity by extracting crucial coefficients from hundred images of the excavators using an open-source software, then compare with the traditional method to identify and analyse the importance of this new method and the practical use it might bring to the construction industry.