Elbit Launches Wide-area Acoustic-based Situational Awareness Solution
MAY continuously senses its surroundings, detects acoustic abnormalities and provides a real-time analysis of emanating sounds based on advanced algorithms and deep learning
IsraelDefense
| 06/06/2018
Photo: Elbit Systems
Elbit Systems today reveals MAY, an innovative sensing and analysis system that provides real-time, autonomous, wide-area acoustic-based intelligence that enhances situational awareness and response time of security forces operating in urban and border areas.
Developed by Elbit Systems EW and SIGINT – Elisra, MAY is based on high-end acoustic sensors which operate interactively within an area of interest. According to the company, these fixed-installation sensors sustain long-term, outdoor 24/7 operation using either wired or wireless communications.
MAY continuously senses its surroundings, detects acoustic abnormalities and provides a real-time analysis of emanating sounds based on advanced algorithms and deep-learning. Once it detects an acoustic anomaly such as gun-fire, the system identifies the event, classifies the sound type, pinpoints the geo-location of the signals and automatically provides actionable information to operating forces. MAY can also detect and process a variety of other public safety related sound signals, including screaming, alarms, and vandalism sounds.
MAY continuously senses its surroundings, detects acoustic abnormalities and provides a real-time analysis of emanating sounds based on advanced algorithms and deep learning
Photo: Elbit Systems
Elbit Systems today reveals MAY, an innovative sensing and analysis system that provides real-time, autonomous, wide-area acoustic-based intelligence that enhances situational awareness and response time of security forces operating in urban and border areas.
Developed by Elbit Systems EW and SIGINT – Elisra, MAY is based on high-end acoustic sensors which operate interactively within an area of interest. According to the company, these fixed-installation sensors sustain long-term, outdoor 24/7 operation using either wired or wireless communications.
MAY continuously senses its surroundings, detects acoustic abnormalities and provides a real-time analysis of emanating sounds based on advanced algorithms and deep-learning. Once it detects an acoustic anomaly such as gun-fire, the system identifies the event, classifies the sound type, pinpoints the geo-location of the signals and automatically provides actionable information to operating forces. MAY can also detect and process a variety of other public safety related sound signals, including screaming, alarms, and vandalism sounds.
