intelligent PHYSICAL SECURITY |
va Security has launched
A Ava Bullet , a robust , cloudconnected security camera that uses AI , Machine Learning and acoustic analytics to help users detect anomalies in real-time and receive proactive incident notifications .
Built with high-quality materials to withstand vandalism and harsh weather conditions , this camera is ideal for securing locations across long distances such as airports , streets , car parks , public transport stations , schools , university campuses and workplaces .
Tormod Ree , CEO and Co-founder of Ava Security , said : “ We are excited to introduce the Ava Bullet , which adds to our world-class portfolio of cloud-native
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cameras . Sophisticated in function and designed for adverse conditions , the Bullet is also dead simple to install . A sliding body makes the physical installation easier than anything else on the market . Scanning a QR code connects the Bullet to the Ava Aware Cloud , delivering powerful cloud-native video management and up-to-date features . Our customers are going to love this camera and we cannot wait to begin shipping it .”
Common challenges with traditional video solutions include difficult installation , storage constraints , expensive on-premises servers and security vulnerabilities . Ava Bullet overcomes these challenges through a simple , secure plug-and-play
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The built-in video and audio analytics in the Ava Bullet security camera can also detect and identify specific sound patterns , such as gunshots , breaking glass or smoke alarms and even determine their direction .
Sam Lancia , Head of Video Engineering and Co-founder of Ava Security , added : “ Video is increasingly critical to the security and safety of airports , cities and workplaces around the globe , which is why it ' s more important than ever to optimise these cameras .
An overwhelming challenge is the amount of time and manpower that must be devoted to analysing video footage . Which is why through our cloud solution we have preserved all the forensic details customers might need to detect threats without the additional burden of storing large volumes of footage . Instead , users have the relevant insights where and when they need it , to execute appropriate action .” u
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