AI Gun Detection Software Integrations for Security Systems
AiLert’s AI gun detection software integrates with leading communication platforms to ensure instant threat notifications. No matter if your team uses Microsoft TEAMS, SMS, Telegram Messenger, or email, AiLert sends real-time alerts. You get them directly in your favorite channels with no delays and no hassle.
We also support standard alerting protocols like SIADC09, commonly used by alarm receiving centers and command & control systems worldwide. This ensures compatibility with existing infrastructure, enabling faster response times and streamlined incident workflows.
Weapon Detection Integration for Alarm Centers
The following protocols are used by alarm centers when our ai software detects guns or assault rifles.
Microsoft TEAMS
AiLert’s weapon detection AI software works directly with Microsoft TEAMS. This makes it a great choice for universities and campus security teams. When a weapon is detected, AiLert quickly sends alerts. These alerts include images and location data. They go directly to Teams channels of security staff. This allows university safety officers to coordinate responses quickly, without relying on separate monitoring dashboards. AiLert uses the communication tools already on campus. This helps schools respond faster, manage threats better, and improve student safety with AI automation.
SIADC09
AiLert’s weapon detection AI software uses the SIADC09 protocol. This is a common standard for sending alarms and incident data to alarm receiving centers. This enables direct, reliable, and automated integration into existing command-and-control systems used by security providers, emergency services, and critical infrastructure. By using SIADC09, AiLert makes sure that verified weapon detections can be quickly sent to human operators. This helps meet industry standards and speeds up incident response in any connected monitoring network.
apache kafka
When integrating gun and assault rifle ai detection of for smart cities, the best approach can include Apache Kafka to deliver real-time alerts. Kafka sends verified alerts straight to VMS platforms, SOC dashboards, and command centers. This requires little customization. As a result, we have low non-recurring engineering (NRE) costs, faster deployment, and less engineering effort.
Kafka is trusted by over 80% of Fortune 100 companies for high-performance mission-critical applications. This makes AiLert an ideal choice for city-wide deployments that demand seamless interoperability, resilience, and cost efficiency across complex, multi-vendor environments.
Weapon Detection Integration for Security Teams
The following protocols notify security teams or law enforcement when a human confirms an alert at command and control.
AiLert’s weapon detection AI software sends quick, detailed email alerts to first responders as soon as a gun is detected. Each alert has important information. This includes the time of detection, location, camera ID, and an image of the weapon or attacker. This helps responders quickly understand the situation before they arrive.
To ensure maximum reliability, every email alert is automatically accompanied by a redundant notification via SMS or Telegram Messenger. This multi-channel approach ensures that first responders are notified right away. Even if one method is slow or not working, they still get the message. This helps with faster coordination and safer results in critical moments.
SMS
AiLert’s weapon detection AI software delivers immediate SMS alerts to first responders when a threat is detected. These alerts include important details like location, time, and a video. This helps responders act quickly, even if they are away from monitoring stations.
In university environments, SMS is the primary alert channel for mobile-first communication. To make sure messages are sent reliably, AiLert also uses Telegram Messenger. This gives a dual-notification system. It helps users stay aware of situations quickly. This combination makes sure responders get alerts, no matter if mobile data or the app is available. This helps universities act quickly to protect students, staff, and visitors on campus.
TELEGRAM MESSENGER
AiLert’s weapon detection AI software sends real-time alerts through Telegram Messenger. This helps first responders get immediate and detailed gun detection notifications on their mobile devices. Each alert has important information like location, time, and a visual snapshot of the detection. It also includes a video, helping teams act quickly and effectively.
Telegram is popular with law enforcement agencies in Europe. It is known for its reliability, speed, and secure group chats. This makes it a great choice for use on campuses and in cities. To make sure messages are delivered in all situations, every Telegram alert is also sent as an SMS. This provides a backup communication method that improves awareness and readiness.
Watch How AiLert Is Integrated Using SIADC09 Protocol
Command And Control For Weapon Detection
& Integration Partners
AiLert AI gun and assault rifle detector integrates witht the following partners and alarm centers.
BOS Security
BOS Security is a leading national provider of remote security monitoring systems and on site security guards. BOS is a trusted provider to clients across industries such as commercial real estate, healthcare, logistics, education, and government.
SEC SOFT TECH
SecureSoft Technologies, also known as SST or SecSoftTech, is a U.S. IT and cybersecurity company. They focus on providing strong, essential solutions for both public and private sectors.
Monitor Computer Systems
Monitor Computer Systems Ltd. has been a top supplier of alarm monitoring software since 1984. They serve both the UK and international markets.
The ERMIS central alarm station in Greece uses Monitor. It helps send weapon detection alerts into current alarm workflows. With our integration, Monitor gets smart alerts from AiLert’s AI gun detection software. It processes these alerts with regular alarm signals. This helps ERMIS manage a strong and unified security system.
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