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SecurityTop 10 Best AI Video Surveillance Software of 2026
Compare 10 ai video surveillance software tools by features, pricing, and use cases. The ranking helps security teams assess strengths and tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
C2P is the strongest overall choice when distributed security teams need centralized event review and coordinated incident response, while Deep Sentinel fits homes and small sites that want AI detection backed by live human intervention.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
C2P
Centralized operational video intelligence that turns distributed camera activity into prioritized security incidents.
Built for fits when distributed security teams need centralized video event review and coordinated incident response..
Cogniac
Editor pickCustom computer vision models convert site-specific visual conditions into automated operational actions.
Built for fits when industrial teams need custom visual detections connected to operational workflows across multiple sites..
Cathexis
Editor pickCathexisVision combines surveillance, analytics, access control, and third-party system events inside one configurable operational interface.
Built for fits when multi-site operators need local video control, integrated analytics, and connections to existing security systems..
Related reading
Comparison Table
AI video surveillance software applies computer vision to camera feeds, metadata, and alerts so security and operations teams can identify events faster. This ranking helps analysts, operators, and technical evaluators compare detection accuracy, integration options, deployment models, automation, auditability, and response workflows across products with different data and staffing requirements.
C2P
enterpriseAI video surveillance platform for threat detection and situational awareness.
Centralized operational video intelligence that turns distributed camera activity into prioritized security incidents.
C2P supports centralized oversight of video security operations across multiple locations. Security teams can review camera activity, investigate detected incidents, and organize responses from a shared interface. The product fits environments where recurring visual events require consistent handling by internal teams or monitoring personnel.
The main tradeoff is that advanced value depends on suitable camera coverage, detection configuration, and operational procedures. C2P is most useful for retail estates, commercial facilities, and other distributed sites that need centralized incident triage instead of isolated local monitoring.
- +Centralizes video security operations across distributed locations
- +Prioritizes detected incidents for faster operator review
- +Supports structured investigation of live and recorded footage
- +Fits multi-site security teams with recurring event workflows
- –Detection quality depends on camera placement and scene conditions
- –Initial configuration requires defined event policies and response procedures
- –Advanced workflows may require integration and administrative planning
- –Local teams may need training for centralized incident handling
Retail security teams
Multi-store incident monitoring
Consistent multi-site response
Commercial property managers
After-hours facility monitoring
Reduced manual surveillance
Show 1 more scenario
Security operations centers
Prioritized video triage
Faster event handling
Operators receive a focused incident workload instead of relying on continuous observation of large camera fleets.
Best for: Fits when distributed security teams need centralized video event review and coordinated incident response.
More related reading
Cogniac
enterpriseAI computer vision platform for video surveillance and industrial inspection.
Custom computer vision models convert site-specific visual conditions into automated operational actions.
Cogniac combines configurable computer vision models with workflow automation for industrial inspection, safety monitoring, and asset visibility. It can analyze live or recorded footage, classify target conditions, and send detection data to connected systems. The approach suits organizations that need repeatable visual checks across factories, warehouses, ports, and field sites.
The main tradeoff is implementation effort because useful results depend on representative training data, camera placement, and clearly defined detection rules. A logistics operator could use Cogniac to identify loading-zone events and notify supervisors, while keeping existing camera infrastructure and downstream systems.
- +Site-specific vision models support industrial and operational scenarios
- +Automated detections can feed downstream business workflows
- +Supports distributed deployments across multiple facilities
- +Handles custom objects, activities, and compliance conditions
- –Model quality depends on representative footage and careful labeling
- –Initial camera and workflow configuration requires specialist involvement
- –General-purpose consumer security features are not the primary focus
- –Detection coverage varies by trained scenario and camera placement
Factory operations teams
PPE and safety compliance
Faster safety intervention
Warehouse managers
Loading-zone activity monitoring
Reduced loading delays
Show 2 more scenarios
Infrastructure operators
Remote asset inspection
Earlier maintenance response
Video analysis flags visible asset conditions across geographically distributed locations.
Security operations teams
Perimeter event detection
Faster incident triage
Configured models identify designated intrusions or site activities and forward alerts to response systems.
Best for: Fits when industrial teams need custom visual detections connected to operational workflows across multiple sites.
Cathexis
enterpriseVideo management software with AI analytics and behavior recognition.
CathexisVision combines surveillance, analytics, access control, and third-party system events inside one configurable operational interface.
Cathexis provides desktop and web interfaces for live viewing, playback, alarm handling, reporting, and system administration. CathexisVision supports integrations with cameras, access control systems, point-of-sale systems, building management equipment, and external data sources. Its analytics library includes object classification, people counting, license plate recognition, facial recognition, direction analysis, and behavior-related detection options.
The main tradeoff is configuration complexity across analytics, integrations, permissions, and multi-site deployments. Cathexis fits transport facilities, retail estates, campuses, and industrial sites that need local recording with centralized investigation. Its modular architecture also allows operators to connect specialized systems instead of replacing every existing security component.
- +Broad integrations for cameras, access control, point-of-sale, and building systems
- +Local recording supports sites with strict retention and connectivity requirements
- +Analytics cover people, vehicles, license plates, and perimeter events
- +Central administration supports multi-site surveillance operations
- –Advanced deployments require substantial planning and configuration
- –Some analytics depend on compatible cameras or separately licensed modules
- –Interface complexity can slow onboarding for small security teams
- –Cloud-first teams may prefer a more remote-native architecture
Multi-site security teams
Centralized incident investigation
Faster cross-site investigations
Retail security departments
Point-of-sale video correlation
Stronger transaction evidence
Show 2 more scenarios
Transport operators
Perimeter and vehicle monitoring
Earlier perimeter response
Analytics flag vehicle activity, restricted-area entry, and selected movement patterns around transport infrastructure.
Industrial facility managers
Local recording and alarms
Unified site oversight
Facilities retain footage locally while coordinating camera alarms with access control and building equipment.
Best for: Fits when multi-site operators need local video control, integrated analytics, and connections to existing security systems.
Viseum
enterpriseAI video surveillance with multi-camera tracking and situational awareness.
Viseum’s AI threat assessment engine prioritizes suspicious activity across multiple camera views for coordinated operator response.
AI video surveillance increasingly depends on analytics that can interpret events across large camera networks, and Viseum focuses on that operational layer. Its platform combines AI-based detection, automated threat assessment, and real-time alerts for perimeter, site, and public-space monitoring.
Viseum supports integration with existing CCTV infrastructure, helping security teams coordinate video intelligence without replacing every camera. The main limitation is that advanced deployments require careful system design, camera calibration, and operational governance.
- +AI threat assessment helps prioritize events instead of presenting every detection equally
- +Supports large-scale camera deployments across sites with different surveillance requirements
- +Integrates analytics with existing CCTV and security operations workflows
- +Automated detection can reduce dependence on continuous manual monitoring
- –Deployment typically needs specialist configuration and site-specific calibration
- –Public documentation provides limited detail about API endpoints and automation workflows
- –User experience depends heavily on the surrounding CCTV and command-center setup
- –Advanced analytics may require compatible cameras, infrastructure, and integration work
Best for: Fits when security operators need automated threat assessment across large, distributed camera networks.
OpenEye
enterpriseVideo surveillance software combines cloud-managed recording, video management, monitoring, and AI search.
OpenEye Web Services unifies locally recorded video from distributed sites under centralized browser-based monitoring and administration.
OpenEye combines network video recording with cloud-managed surveillance through its OpenEye Web Services architecture. The system supports live viewing, forensic search, video export, health monitoring, and centralized administration across distributed sites.
OpenEye's analytics can identify people and vehicles, while integrations connect cameras, access control, alarms, and third-party systems. Its strongest use case is multi-site security operations that need local recording with browser-based oversight.
- +Hybrid architecture keeps recording local while enabling centralized browser access.
- +OpenEye Web Services supports multi-site monitoring and administration.
- +AI analytics provide person and vehicle detection for event review.
- +Integrations cover access control, alarms, cameras, and business systems.
- –Advanced analytics and integrations can require additional configuration.
- –Hardware and deployment choices create more planning work than cloud-only systems.
- –API and automation documentation is less visible than the main management workflows.
- –Smaller sites may not need the full multi-site feature set.
Best for: Fits when organizations need local video retention, centralized oversight, and consistent administration across multiple sites.
Deep Sentinel
vertical specialistAI-powered video surveillance combines camera detection with live security intervention for monitored sites.
Live Guard response links AI camera alerts to verified audio warnings, sirens, lights, and emergency escalation.
Residential and small commercial sites needing human-reviewed intervention fit Deep Sentinel best, especially when cameras must trigger live security responses. Its Sentinel AI analyzes camera feeds for people, vehicles, and activity, while trained guards can verify events and communicate through the system.
The service combines event-based video monitoring with deterrence actions such as two-way audio, sirens, and lights. Coverage is centered on Deep Sentinel hardware and managed monitoring rather than broad third-party VMS integration.
- +Live Guard intervention adds human verification after AI-detected activity.
- +AI cameras support person, vehicle, and unusual-activity detection.
- +Two-way audio, sirens, and lights provide active deterrence.
- +Mobile alerts and event clips support remote incident review.
- –Hardware and monitoring depend on the Deep Sentinel ecosystem.
- –Third-party camera and on-premises VMS integration are limited.
- –Advanced analytics coverage is narrower than enterprise video platforms.
- –Large multi-site deployments may require substantial operational coordination.
Best for: Fits when homes or small sites need AI detection followed by live human intervention.
Camio
SMBCloud video security software provides AI-assisted search, alerts, monitoring, and camera management.
Natural-language video search lets operators locate people, objects, and activities across large footage collections.
Camio differentiates itself through browser-based investigation across live and recorded camera feeds, with natural-language search for visual events. It supports cloud-managed cameras, existing network cameras, and integrations with systems such as Verkada, Rhombus, and Google Workspace.
AI detection can identify people, vehicles, and specific activities, while alerts, sharing controls, and video exports support operational response. Its broad camera compatibility is useful, but advanced deployments require careful configuration of camera connectivity, retention, and alert policies.
- +Natural-language search reduces manual review across recorded camera footage.
- +Works with many existing IP cameras and cloud camera ecosystems.
- +Automated alerts can target people, vehicles, objects, and defined behaviors.
- +Google Workspace integration supports identity management and controlled video sharing.
- –Camera compatibility and stream setup can require technical administration.
- –Detection accuracy depends on camera placement, lighting, and scene conditions.
- –Advanced retention and alert policies require ongoing governance.
- –Native controls are less suited to organizations needing a full on-premises VMS.
Best for: Fits when security teams need searchable multi-camera footage without replacing existing camera infrastructure.
IpConfigure
enterpriseEnterprise video management with AI analytics and cloud or on-prem deployment.
Orchid Fusion provides centralized browser access to independently managed Orchid video systems across multiple locations.
Within AI video surveillance, IpConfigure combines an on-premises video management system with cloud-connected administration and analytics. Its Orchid platform supports live viewing, recording, camera management, investigation, and multi-site operations through a browser interface.
Orchid Fusion adds centralized access across distributed deployments, while Orchid Core handles local video storage and management. Integrations with ONVIF cameras, access-control systems, and third-party devices broaden deployment options, but advanced automation and analytics depend on supported hardware, modules, and configuration work.
- +Orchid Fusion centralizes monitoring across multiple geographically separated sites.
- +Browser-based live view and investigation reduce dependence on dedicated workstation software.
- +ONVIF support accommodates mixed-camera environments and existing surveillance hardware.
- +Access-control integrations connect video events with facility entry activity.
- –Advanced analytics coverage depends on compatible cameras, licenses, and deployment modules.
- –Large installations require careful network, storage, and camera-capacity planning.
- –The interface can become complex across multi-site roles, devices, and recording policies.
- –Automation and event integrations are less extensive than API-first surveillance products.
Best for: Fits when organizations need centralized oversight for distributed sites using mixed camera infrastructure.
ZeroEyes
vertical specialistAI video analytics software detects weapons and security threats from existing camera feeds for response teams.
Human-verified firearm detection combines computer vision alerts with analyst review before escalation.
ZeroEyes analyzes live camera feeds for firearm threats and sends verified alerts to designated responders. Its computer vision service integrates with existing video infrastructure instead of requiring a full camera replacement.
The platform combines detection, human verification, alert distribution, and incident management for schools, government sites, and commercial facilities. Coverage is specialized, while broader surveillance analytics and administrative extensibility are less prominent.
- +Firearm detection focuses the product on a clearly defined security threat.
- +Human verification helps reduce false firearm alerts before notification.
- +Integrates with existing cameras and video management systems.
- +Alerts can reach security personnel and emergency response workflows.
- –Narrower coverage than systems supporting broad behavioral and vehicle analytics.
- –Performance depends on camera positioning, image quality, and lighting.
- –Human verification introduces operational dependency during incidents.
- –Public API and granular administration details are less visible than core detection features.
Best for: Fits when organizations need firearm-focused monitoring across existing camera networks and coordinated emergency response.
viisights
enterpriseBehavioral video intelligence software analyzes live and recorded video for safety, security, and operational events.
Viisights behavioral analytics identify activity patterns such as crowd formation, loitering, queueing, and abandoned objects.
Security teams managing distributed sites fit viisights when they need AI analysis across existing camera infrastructure. Its Viisights Video Intelligence platform applies behavioral analytics to detect activities such as crowding, intrusion, loitering, abandoned objects, and queue formation.
The system supports real-time alerts, video search, incident review, and integration with video management environments. Coverage is strongest for operational and public-space monitoring, while documented API and governance details are less extensive than those of higher-ranked alternatives.
- +Behavioral analytics cover crowding, loitering, intrusion, and abandoned-object scenarios.
- +Supports integration with existing CCTV and video management infrastructure.
- +Real-time alerts can direct operators to defined security events.
- +Video intelligence applies to transport, retail, public-space, and enterprise monitoring.
- –Public documentation provides limited detail about API endpoints and automation workflows.
- –Advanced analytics require careful camera placement and scenario configuration.
- –Feature coverage can depend on selected deployment modules and integrations.
- –Administrative controls and audit capabilities receive less public detail than competing products.
Best for: Fits when security teams need behavioral video analytics across transport, retail, or public-space camera networks.
Conclusion
After evaluating 10 security, C2P stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right ai video surveillance software
AI video surveillance software applies computer vision to camera streams, recorded footage, and security events. C2P leads this guide with centralized incident prioritization for distributed teams, while Cogniac, Cathexis, Viseum, OpenEye, Deep Sentinel, Camio, IpConfigure, ZeroEyes, and viisights address custom detection, hybrid recording, threat assessment, search, human verification, and behavioral analytics.
Selection depends on the operating model rather than detection breadth alone. Cathexis combines video with access control and third-party events, OpenEye keeps recording local with centralized administration, and Deep Sentinel links AI alerts to live human intervention. Camio focuses on natural-language footage search, while ZeroEyes specializes in human-verified firearm detection.
What AI Video Surveillance Software Does
AI video surveillance software analyzes live or recorded camera footage to identify people, vehicles, objects, activities, and security events. It can prioritize incidents, trigger operational workflows, support forensic searches, or route alerts to human responders. C2P turns distributed camera activity into prioritized incidents, while Cogniac uses custom computer vision models for site-specific industrial actions.
Products differ in deployment and response design. Cathexis combines surveillance, analytics, access control, and third-party system events in one interface. OpenEye uses local recording with centralized browser access, while Deep Sentinel adds live human verification and audible intervention after AI detection.
AI Video Surveillance Features That Affect Deployment
Detection coverage matters, but response handling, recording architecture, and integration depth determine operational value. C2P prioritizes incidents for distributed teams, while ZeroEyes inserts human verification into firearm alerts.
Deployment design also separates these products. Cathexis combines surveillance with access control and business systems, while OpenEye retains video locally and provides centralized browser administration. Camio addresses investigation through natural-language search instead of alert prioritization.
Incident prioritization and response routing
C2P turns activity from distributed cameras into prioritized security incidents for coordinated review. Viseum applies threat assessment across multiple camera views, while Deep Sentinel connects AI alerts to live guards, sirens, lights, and emergency escalation.
Custom detection and operational actions
Cogniac builds site-specific computer vision models from representative footage and labeling, then sends detections into industrial workflows. Viisights instead focuses on predefined behavioral patterns such as crowd formation, queueing, loitering, and abandoned objects.
Video architecture and site control
Cathexis supports local recording and connections to access control, point-of-sale, and building systems. OpenEye keeps recording at each site while OpenEye Web Services centralizes monitoring and administration through a browser.
Investigation and footage retrieval
Camio uses natural-language queries to locate people, objects, and activities across recorded footage. IpConfigure provides browser-based live viewing and investigation across independently managed Orchid systems.
Threat-specific verification
ZeroEyes concentrates on firearm detection and routes computer vision alerts through analyst review before escalation. Deep Sentinel applies human intervention to AI-detected activity across its own cameras and monitoring ecosystem.
Camera and deployment dependencies
Cathexis analytics can require compatible cameras or separately licensed modules, and IpConfigure analytics depend on cameras, licenses, and deployment modules. Camio supports many existing IP cameras but still requires technical stream setup and scene-specific calibration.
How to Match AI Surveillance Architecture to the Operating Model
The main decision is where intelligence and response should reside. OpenEye and Cathexis suit organizations that retain local video control, while C2P and Viseum emphasize centralized incident handling across distributed sites.
The second decision is detection philosophy. Cogniac supports custom industrial models, Viisights targets behavioral patterns, ZeroEyes concentrates on firearms, and Camio prioritizes retrospective search. These approaches require different footage, staffing, and governance practices.
Choose centralized incident operations or local system control
Select C2P or Viseum when operators need prioritized activity from many locations in one security workflow. Select Cathexis or OpenEye when local recording, site autonomy, and centralized administration must coexist.
Choose custom models or predefined behavioral analytics
Choose Cogniac when each site has specialized visual conditions and detections must trigger industrial actions. Choose viisights when established scenarios such as loitering, crowding, intrusion, or abandoned objects cover the main requirement.
Choose live intervention or automated alert handling
Deep Sentinel fits deployments that require a live guard to verify activity and issue audio warnings or emergency escalation. ZeroEyes fits a narrower firearm-focused workflow that inserts analyst review before notification.
Choose retrospective search or detection-led monitoring
Camio is suited to teams that investigate large footage collections through natural-language queries. C2P, Viseum, and Deep Sentinel are better aligned with teams that need activity prioritized or acted on as events occur.
Map camera compatibility and integration boundaries
Check the camera models, recording systems, licenses, and modules required by each deployment. Cathexis and IpConfigure can depend on compatible components, while Deep Sentinel limits third-party camera and on-premises VMS integration.
Organizations That Benefit From AI Video Surveillance Software
Distributed security operations benefit most when camera activity is consolidated into a review or response workflow. C2P, Viseum, OpenEye, and IpConfigure address different forms of multi-site oversight.
Specialized environments need narrower selection criteria. Cogniac serves industrial workflows with custom models, ZeroEyes serves firearm-focused response, and Deep Sentinel serves smaller sites that require human intervention after detection.
Distributed security teams
C2P prioritizes incidents across distributed locations for coordinated review. Viseum assesses suspicious activity across multiple camera views, while OpenEye and IpConfigure centralize oversight without requiring all recording to move off site.
Industrial and operational organizations
Cogniac supports site-specific visual models that connect detections to downstream business workflows. Its model development depends on representative footage and careful labeling.
Security teams with integrated physical systems
Cathexis combines video, analytics, access control, point-of-sale, and building-system events in one configurable interface. Local recording also suits sites with strict retention or connectivity requirements.
Small sites requiring human response
Deep Sentinel combines AI camera detections with Live Guard verification, audio warnings, sirens, lights, and escalation. The workflow depends on the Deep Sentinel hardware and monitoring ecosystem.
Organizations with narrow or investigation-led priorities
ZeroEyes fits firearm-focused monitoring with analyst verification before escalation. Camio fits teams that need natural-language searches across existing camera footage instead of replacing their camera infrastructure.
AI Video Surveillance Deployment Pitfalls
AI detection quality depends on camera placement, lighting, image quality, and scene conditions. ZeroEyes, Camio, C2P, and Cogniac each expose different dependencies through firearm detection, footage search, incident detection, and custom model training.
Architecture mistakes also create operational limits. Deep Sentinel restricts third-party integration, Cathexis may require licensed modules, and large IpConfigure installations need planned network, storage, and camera capacity.
Treating detection coverage as interchangeable across products
Match the detection target to the product scope. ZeroEyes centers on firearms, viisights covers behavioral patterns, Cogniac supports custom industrial detections, and Camio focuses on footage search.
Deploying cameras without testing scene conditions
Validate placement, lighting, viewing angles, and image quality before relying on alerts. C2P, Camio, ZeroEyes, and Cogniac all depend on usable footage for reliable results.
Assuming every product supports the existing camera and VMS stack
Check camera compatibility, stream setup, licenses, and recording integration before deployment. Deep Sentinel has limited third-party camera and on-premises VMS integration, while Cathexis and IpConfigure can require compatible modules.
Selecting a response model without assigning operational ownership
Define who reviews, verifies, and escalates events before activation. Deep Sentinel supplies live guard intervention, ZeroEyes uses analyst verification, and C2P requires defined event policies and response procedures.
Underestimating multi-site capacity planning
Plan network throughput, storage, camera capacity, and site connectivity for large installations. IpConfigure and OpenEye use distributed architectures that preserve local recording or local system management while adding centralized access.
How We Selected and Ranked These Tools
We evaluated each AI video surveillance software product across detection capability, integration depth, deployment architecture, response workflows, administration, and investigation features. Features accounted for 40% of the ranking, while ease of use accounted for 30% and value accounted for 30%.
C2P ranked first because it combines centralized incident prioritization with coordinated review across distributed camera locations. Cogniac, Cathexis, Viseum, OpenEye, Deep Sentinel, Camio, IpConfigure, ZeroEyes, and viisights ranked according to their documented strengths and operational boundaries.
Frequently Asked Questions About ai video surveillance software
Which AI video surveillance software fits distributed, multi-site operations?
How do AI video surveillance platforms connect detections to operational workflows?
Which tools support existing cameras instead of requiring a complete hardware replacement?
What technical requirements affect deployment and analytics coverage?
Where does AI video surveillance software fall short for broad security coverage?
When is human verification preferable to automated alerting?
How do teams investigate recorded video after an incident?
Which platform is suited to behavioral analytics such as loitering and crowding?
What administrative controls matter when multiple teams access video systems?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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