Digitisation of handrwitten safety card helps to monitor, visualize, predict and prescribe health safety regulations according to government norms.
Report unsafe conditions in either online or offline format, visualize analytics dashboard and predict incidents to eliminate hazardous situations.
Digitising handwritten entries, combining handwritten and digital entries for better visualization & analysis, automated final incident reporting according to government format and HSE incident reporting format of the company.
Reduction in hazards
Decrease in response time
Convenience of entries in either online or offline format, increases the number of personnel filling safety cards along with the quality of reporting by multiple folds.
Hassle free monitoring of trends for HSE team on the basis of locations, incidents, hazards and other important visualization parameters.
Increased accuracy in hazard prediction analysis helps in timely planning of hazard prevention or mitgation activites, providing smooth operational support.
Accuracy in predicting hazards helps in timely adoption of preventive or mitigation measures to prevent life and asset losses caused by the hazard.
This allows for better communication between HSE and field operations team,less confusions and optimized resource management adds to improved operational efficiency.
Less number of personnel required to manage HSE reports, stable environment in producting fields & storage facilities and thousands of dollars saved from avoiding high penalties for safety violation.
Predicts upcoming incidents on the basis of past stop card data which helps in planning mitigation strategies with better effect.
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Add on features like real time notification alerts helps in better response management of active hazards & helps in preventing upcoming hazards.
Request DemoDigitise HSE reporting process for live tracking of HSE incidents across multiple countries, ease of stop card entries to wide range of qualified professionals, increased data quantity and high precisional accuracy in decision making.
