Abstract: Safety non-compliance and, simultaneously, productivity metrices are computed and tracked. Objects of interest (such as technicians, tools, cranes, slings, gloves, assets) are identified and tracked from real time streams of cameras through the application of several filtration processes (boundary based, aspect-ratio based, intersection-over-union based, dice coefficient-based, and custom model bounding box filtration techniques) and are then projected onto a 2D homographic map which localizes their position. The localized position is filtered using custom time series and frequency-based filters and aggregated over a set of defined time ranges to obtain productivity and safety KPIs. Non-compliance detections are flagged with video recorded for the given time duration and anonymized with custom processes to ensure data privacy. Productivity KPIs are represented in a dashboard with readings collected at different time intervals like hourly, daily, weekly and monthly.