The UK’s rapid deployment tower sector is expanding, with Ajax Systems emerging as a preferred choice for temporary surveillance setups in industries like construction, event management, and remote monitoring. While effective, these systems often face the challenge of nuisance alerts triggered by weather or wildlife. DeepAlert’s AI-powered false alarm filtering offers a solution to this problem, dramatically improving reliability.
Ajax’s rapid deployment towers rely on event-triggered alerts from surveillance cameras to detect potential threats. However, false positives from wind, rain, or animals can flood the system, reducing trust and increasing the chances of missing genuine threats. Security teams are also burdened by wasted resources on non-critical incidents.
Companies like StarFM, a leading UK rapid deployment and monitoring provider, have adopted DeepAlert’s filtering technology to drastically reduce false alarms from Ajax systems. According to Clint Faulkner, Commercial Director of StarFM:
“DeepAlert’s false alarm filtering service is incredibly easy to install, and the results have been outstanding. It has significantly reduced the number of nuisance alerts, allowing us to focus on real security threats.”
DeepAlert’s service integrates seamlessly with Ajax Systems, using machine learning algorithms to distinguish between real security threats and harmless triggers. Key features include:
Ajax Systems, popular for its flexibility and ease of installation, gains added value from DeepAlert’s filtering service. This integration allows remote adjustments, saving time and resources. StarFM uses this setup to optimize their operations in real-time.
With DeepAlert’s AI filtering enhancing Ajax systems, security providers can now deliver more efficient, reliable solutions for temporary surveillance needs.
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