Towards the adoption of vision intelligence for construction safety: Grounded theory methodology based safety regulations analysis

The construction safety rules play a vital role in mitigating accidents and fatalities at the construction site. Many researchers are currently devoted to monitoring the rule compliance using vision intelligence-based approaches; however, such systems are still not yet mature to be applied in construction job sites. A single autonomous source’s job site safety control is a non-trivial task that needs a detailed analysis of safety rules for a compact vision intelligence-based system development. This paper proposes Grounded Theory Methodology (GTM) to systematically classify the safety rules for implementation using vision intelligence technology. The rules are classified into four groups based on the open coding, axial coding, and selective coding approach:(1) Before Work,(2) With Intervals,(3) After Work (4) During Work. The proposed GTM based model linked further with the scene capturing sources such as single scene capturing through smartphones for the rules required:(a) before work and after work,(b) periodic scene capturing using robots, and (c) drones for the rules needed with intervals and (d) CCTVs for the safety rules to continuous monitoring of safety.