AI-powered video security company Camect has partnered with 3Si Security Systems to connect its intelligent camera analytics with 3Si’s DirectToDispatch platform, creating a pathway for verified security incident information to reach public safety agencies. The integration is designed to help businesses and security monitoring teams identify relevant activity through existing camera systems, review potential incidents, and share confirmed crime intelligence with local police dispatchers. The partnership highlights a growing role for edge AI and computer vision in connecting private-sector security infrastructure with public safety operations.
Camect Brings AI Video Analytics Into Public Safety Workflows
Security cameras generate substantial amounts of video, but identifying important activity and communicating it to the right responders can remain a fragmented process. Camect and 3Si Security Systems are seeking to address that gap by connecting AI-powered video detection with a platform designed to deliver verified incident intelligence to police dispatch.
The partnership combines Camect’s Smart Camera Hub technology with 3Si’s DirectToDispatch (DTD), which provides a channel for authorized security teams to share confirmed threats to property or life with local law enforcement. The companies say the integration will help move relevant information beyond conventional surveillance monitoring and into public safety workflows.
Camect’s technology uses edge-based artificial intelligence to analyze video from existing security cameras. Rather than requiring security personnel to continuously watch multiple feeds, the system identifies activity that may require attention and generates alerts with relevant video context. Camect describes its platform as camera-agnostic, allowing organizations to add AI-powered detection capabilities to existing surveillance infrastructure.
The company’s product materials describe more than 40 detection features, including capabilities intended to identify meaningful activity and reduce unnecessary alerts. This approach reflects a wider shift toward edge AI, where video analysis takes place closer to the camera infrastructure instead of depending entirely on centralized cloud processing.
From Detection to Verified Incident Intelligence
The 3Si integration adds a response-oriented layer to that detection capability. DirectToDispatch is designed to deliver verified crime intelligence, including video, images, location information, and other incident details, directly to local police dispatch centers.
Importantly, the workflow is not simply an automated transfer of every AI-generated alert to law enforcement. Camect’s integration description outlines a sequence in which the camera system first identifies potentially relevant activity. Authorized security personnel or monitoring professionals then review the alert and determine whether it represents a qualifying threat. Only confirmed incidents are prepared for sharing through the DirectToDispatch pathway, subject to supported integration capabilities and authorization requirements.
This human verification step is significant. Computer vision systems can identify patterns and unusual activity, but an automated detection does not necessarily establish that a crime has occurred. Requiring authorized personnel to assess an event before escalation can help reduce the risk of unnecessary police dispatches and provide additional context for responders.
Once information is verified, DirectToDispatch provides a secure route to the appropriate police dispatch center. Dispatchers can use the shared intelligence to assess the incident and provide relevant information to responding officers through established agency workflows. 3Si says its platform is connected to more than 10,400 law enforcement agencies.
Edge AI and Existing Security Infrastructure
The partnership also illustrates how AI capabilities can extend the value of installed security systems. Replacing cameras or rebuilding surveillance infrastructure can be costly for businesses, commercial properties, and monitoring providers. Camect’s approach instead focuses on making existing camera networks more intelligent through its Smart Camera Hub.
For security integrators and monitoring centers, this creates a potential way to connect video analytics with incident review and escalation processes. Retailers, financial institutions, healthcare facilities, educational organizations, and other property operators could benefit from more structured sharing of verified security information, depending on their deployments and local procedures.
The model also introduces important questions around privacy, data governance, and operational accountability. Sharing video with public safety agencies requires clear authorization, controls over which information is transmitted, and safeguards around access and retention. 3Si says organizations retain control over what intelligence is shared, when it is shared, and with whom.
A Wider Role for AI in Public Safety
The Camect-3Si partnership reflects a broader development in physical security: AI is increasingly being used not just to detect activity, but to help organize information for operational decisions. Similar approaches across the industry are bringing computer vision, video management systems, monitoring centers, and public safety networks closer together.
However, the practical value of this integration will depend on detection accuracy, the quality of human verification, the speed and reliability of information sharing, and the ability to fit into existing dispatch procedures. The companies have not disclosed deployment metrics, false-alert reduction figures, integration availability timelines, or measured effects on emergency response times.
For now, the announcement establishes a technology partnership and an intended workflow rather than evidence of improved public safety outcomes at scale. Its significance lies in connecting AI-powered video analysis with a structured, human-verified route to police dispatch. If the integration proves reliable in operational environments, it could help turn existing surveillance networks into more useful sources of incident intelligence.
Market Landscape
The physical security market is moving from passive video recording toward AI-assisted detection, verification, and incident management. Edge AI reduces the need for continuous manual monitoring, while integrations with monitoring centers and dispatch platforms can make relevant information more actionable.
Camect and 3Si are positioning their partnership around three developments:
- Edge AI video analytics: Processing camera feeds to identify activity that warrants attention.
- Human-verified incident escalation: Keeping authorized security personnel involved before confirmed incidents are shared.
- Public-private security integration: Connecting private camera infrastructure with established police dispatch workflows.
The key competitive question is whether these systems can improve the speed and quality of incident information without creating excessive false alerts, privacy risks, or additional operational burdens.
Top Insights
- Camect is connecting its edge-based AI video analytics with 3Si’s DirectToDispatch platform for verified public safety incident sharing.
- The workflow includes human review and verification before qualifying incident information is sent to police dispatch.
- Camect’s Smart Camera Hub is designed to add AI detection capabilities to existing security camera infrastructure.
- 3Si says DirectToDispatch has connections with more than 10,400 law enforcement agencies.
- Deployment scale, integration timelines, detection accuracy, and measurable response improvements have not yet been disclosed.
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