Ms. Kathy Sudnik1, Mr. Mahesh Krishnan
1FUJITSU LTD., Macquarie Park, Australia
Biography:
Mahesh Krishnan is the CTO for Fujitsu in Oceania, where his main role is to influence, and drive sustainable digital transformation using the key technologies of AI, Computing, Network, Data & Security and Converging Technologies. He has previously been CTO at companies in the Energy and Health domain. He has written a couple of technical books and is the recipient of Microsoft’s Most Valuable Professional award for several years.
Abstract:
In the pursuit of bolstering public safety through intelligent surveillance, Fujitsu's past endeavours leveraged skeletal models in conjunction with classical machine learning algorithms for Vision AI to detect aggressive and anti-social behaviour. While this approach demonstrated potential in recognising human interactions, it was marred by a high rate of false positives and challenges stemming from occlusion, variable lighting conditions, and other environmental factors.
To address these limitations, Fujitsu has pioneered innovative platforms that integrates Generative AI with their existing skeletal model-based framework. This synergy has dramatically reduced false positives while significantly enhancing both precision and recall in aggression detection using newer approach on our codes and algorithms. This delves into the architectural intricacies of this fusion, elucidating how Generative AI complements skeletal models to overcome traditional Computer Vision barriers, thereby setting a new benchmark for reliable and scalable public safety applications and tools.