Leading video AI implementation enabler Staqu Technologies has recently launched a new audio analytics feature for JARVI, a state-of-the-art video AI engine. Aimed at addressing the informational blind spots that currently exist in the CCTV monitoring and security space, the upgrade enables JARVIS to evaluate audio inputs from CCTV cameras, in addition to the video feed, to accurately identify and classify potentially dangerous events.
CCTV cameras can capture the ambient audio data from outside their direct field of vision that can be used to identify any disturbance or incongruous event. With the help of JARVIS’s audio analytics feature, one can evaluate this input to conduct accurate ‘scene or event classification’ and notify human responders in real-time to trigger the most appropriate situational response. This will improve the operational efficacy of law enforcement agencies and private security teams, enabling them to drastically shorten their response time to such events and contain them before they can escalate.
Speaking on the new feature launch, Mr. Atul Rai, Co-founder & CEO – Staqu Technologies, said, “The inputs, when captured by CCTV cameras and analysed through a state-of-the-art automated analytics engine such as JARVIS, can be utilized to bolster the safety and security of individuals, businesses, and communities in public and private spaces across the country.”
With the rollout, JARVIS will also provide unique audio-based search functionality on its platform; one can search for any video activity just by presenting an audio query to JARVIS. This can help business owners and other authorized users – such as administrators and HR professionals – identify individuals not following standard operating procedures such as COVID-19 protocols, safety protocols, security guidelines, etc. at the workplace.