A FINANCIAL technology start-up created by Bahamian born E. Jay Saunders has upgraded its crime-fighting program with the addition of new capabilities.
Domus Semo Sancus' (DSS) said its SafetyNet Safe City, a version of its award-winning Enhanced Due Diligence Cognitive Search and Crime Prevention Tool SafetyNet, had added upgrades to its underlying image recognition and analysis engines which powers SafetyNet Safe City's facial search tool.
With these enhancements, it said SafetyNet Safe City is able to:
Detect and recognise text in images.
Conduct real-time facial recognition within datasets of tens of millions of images.
Detect and recognise up to 100 different persons simultaneously within a single image.
Locate, identify and track persons within real-time video, even if their faces are not visible throughout the video, or even if they go in and out of the field of view.
SafetyNet Safe City's Facial Search tool is designed to enable law enforcement to identify "multiple persons-of-interest against a collection of millions of facial images from our ever-growing high-risk database in near real-time".
Rohit Trivedi, DSS' head of technical development, said: "The new features that we've made available today provide the law enforcement community with the latest and greatest in machine learning and visual analysis, thereby allowing them to minimise the time between the detection of a crime and the solving of it."
"We want to ensure that our law enforcement customers are able to focus on the things that matter - solving crimes and saving lives - and that's why we've worked hard to make these enhancements available free of charge, and without the requirement for an IT department to roll them out," added Mr Saunders.