Abstract: The disclosure provides a computer-implemented method of controlling safety operations at a designated site associated with Personal Protective Equipment (PPE) requirements. The method comprises: receiving sensor data from a sensor system monitoring the site; detecting an individual at the site based on the sensor data; identifying one or more items of PPE present on the individual based on the sensor data; determining a compliance score associated with the individual based, at least in part, on the one or more identified items of PPE and a PPE checklist associated with the designated site, the PPE checklist comprising one or more prescribed items of PPE; comparing the compliance score to a safety threshold; and controlling one or more safety operations at the site in dependence on the comparison between the determined compliance score and the safety threshold.

Abstract: The present invention relates to novel liquid formulations comprising pharmacologically active fusion protein. The present invention discloses the use of histidine buffer in combination with other excipients to stabilize the fusion protein by lowering the product related impurities. In another aspects invention provides a formulation of fusion protein with low viscosity.

Abstract: A method of performing movement pattern anomaly detection with targeted alerts can include receiving input from each camera of a multi-camera system and for each input: performing video content analysis; generating a critical analysis matrix associated with the input from that camera; assigning a fusion value for each vector of the critical analysis matrix using a fusion map that indicates particular fusion values associated with possible elements of the critical analysis matrix; and triggering an alert according to whether the fusion value exceeds a threshold associated with that camera. The critical analysis matrix includes output from at least two different computer vision algorithms of the video content analysis applied to the input from a camera.

Abstract: In some embodiments, a method includes retrieving data associated with each account from a set of accounts from one or more computing platforms and parsing the data to determine a set of characteristics associated with each account from the set of accounts. The method includes mapping, based on an entitlement value of each account, a first subset of accounts from the set of accounts to a first privilege value, and mapping, based on an entitlement value of each account, a second subset of accounts from the set of accounts to a second privilege value. The method includes generating a report indicating the first subset of accounts having the first privilege value and the second subset of accounts having the second privilege value. In some implementations, the method includes scheduling a set of jobs to execute the jobs automatically in response to at least one trigger event.

Abstract: A method of performing movement pattern anomaly detection with targeted alerts can include receiving input from each camera of a multi-camera system and for each input: performing video content analysis; generating a critical analysis matrix associated with the input from that camera; assigning a fusion value for each vector of the critical analysis matrix using a fusion map that indicates particular fusion values associated with possible elements of the critical analysis matrix; and triggering an alert according to whether the fusion value exceeds a threshold associated with that camera. The critical analysis matrix includes output from at least two different computer vision algorithms of the video content analysis applied to the input from a camera.