Great Ormond Street Hospital (GOSH) clinicians see more than 300,000 children every year, many of them with critical care needs. To ensure its patients receive the best possible care in a safe and secure environment, GOSH began testing an AI-based person recognition system where medical staff, patients, and authorized visitors receive access to certain secure areas of the hospital while any unauthorized entrants are either stopped or flagged by the system. The solution uses a network of AI-enabled smart cameras to examine each person’s face, body structure, and gait. The system then automatically cross-checks facial features against a database of registered people. The system has increased hospital security and has clinical benefits, too. For example, if a child requires immediate care, an emergency room doctor can quickly be located and notified, ensuring the team is ready to spring into action when needed.
EVERYTHINGPOSSIBLE/123RF
In the past, coping with such a sophisticated system would have required a sprawling data center and its associated costs. But the AI revolution has sparked a movement to perform AI computing differently. Instead of a cloud link, data generated by GOSH’s innovative cameras is processed locally on the cameras themselves using a tiny chip. Not only does this “AI at the edge” system process data faster and more cost efficiently, it never leaves the confines of the hospital.
