Frequently Asked Questions

IRIS+ is an AI-powered video analytics platform that transforms video surveillance systems using deep learning for real-time threat detection, forensic analysis, and integration with any IP camera. It supports cloud, hybrid, or on-premise deployments.

IRIS+ supports on-premise (air-gapped), cloud-hosted (managed by Irisity), hybrid, and edge deployments (on-camera analytics). Cloud deployments are recommended for scalability.

IRIS+ works with any IP camera using RTSP/ONVIF protocols, including analog cameras via DVRs. Thermal and fisheye cameras are also supported.

Yes. IRIS+ extends the lifespan of existing surveillance infrastructure by adding AI analytics to older cameras.

The platform scales from small setups (5–10 cameras) to multi-site, multi-tenant deployments with thousands of cameras, using Kubernetes for elastic resource management.

Pre-configured algorithms that monitor for activities like intrusion, loitering, unattended objects, fire/smoke, counting crowds and line crossing. They trigger real-time alerts.

Yes. Personalized AI allows tailoring detection rules to monitor site-specific activities such as detecting two people on a motorcycle.

Yes. AI agents track overcrowding and provide real-time headcounts for safety compliance.

Detects perimeter breaches, analyzes customer behavior, and monitors queue lengths.

Yes. Identifies traffic violations (e.g., wrong-way driving), counts vehicles, and detects accidents.

Yes. Thermal cameras or AI agents analyze visual smoke patterns.

Schools use IRIS+ for safekeeping the school grounds for personnel and student safety. Monitor school perimeters for breaches, unauthorized access, and hazardous object detection.

IRIS+ provides GDPR-compliant facial recognition for identity verification, unauthorized access detection, and post-incident analysis.

Yes, IRIS+ supports thermal for long-distance intrusion detection and similar rules. Optical/color cameras are required for fire & smoke detection.

A forensic tool that identifies individuals/objects across multiple video feeds using metadata, aiding investigations.

An Edge Device in IRIS+ is a hardware or software component deployed on-site to process video analytics locally. It connects directly to IP cameras, runs AI detection agents in real-time, and reduces bandwidth usage by sending only metadata (not raw video) to the cloud or on-premise servers. Edge Devices support hybrid deployments and are managed via the IRIS+ portal.

Connect the edge device to the network, ensure it’s connected to the cloud or on-premise Core and configure the edge device and cameras simply through our easy-to-use web portals. Log in via its IP, configure endpoints (e.g., edge.irisity.io), and add it to a folder in the IRIS+ portal.

The IRIS+ Core Server is a pre-configured management hub for small to mid-sized installations. It centrally connects up to 100 cameras via Edge devices across single or multiple sites, enabling cost-effective deployment for tasks like perimeter security, facility monitoring, or retail analytics. It integrates seamlessly with existing camera systems and video management software (VMS).

Depends on hardware specs, video profiles (e.g., H.264/1080p/30 FPS), and scene activity (low/medium/high). Example: An Edge 10 appliance typically processes ~10 cameras.

When installing any Edge device with IRIS+, minimum specifications are required to support and maintain a healthy system. Read more in button below to learn about what is needed for each Edge type.

Yes. Edge Devices cache metadata during temporary Core Server outages and sync once connectivity is restored.

IRIS+ only requires outbound traffic on standard ports to be allowed, so for most networks no firewall configuration is needed.

In the IRIS+ portal’s Physical View, select the Edge device > Cameras > Add > enter RTSP/ONVIF URL.

We recommend cameras to have static IPs to ensure uninterrupted connectivity.

Administrator: Configure hierarchy, devices, schedules, and rules.
Monitor: View and tag detected events.
Investigate: Search events via map or camera filters.
BI Dashboard: Customize how you view statistical data and trends from all scenes and events.
Reports: Generate/schedule statistical exports.
Settings: Manage users, audit logs, and integrations.

Displays detected events as cards, allowing operators to tag events, view live feeds, and filter results.

Use the Reports module > Scheduled Reports to automate daily/weekly/monthly exports sent via email.

Enables forensic searches using criteria like timeframe, object type (e.g., vehicle color), or map-based queries.

Schedules active monitoring periods (e.g., business hours) and assigns rules to specific days.

Visualizes trends (e.g., crowd density, incident hotspots) and generates actionable insights from metadata.

Yes. IRIS+ adheres to the EU General Data Protection Regulation (GDPR) and incorporates privacy-by-design principles. Customers are always the data controllers, determining the purposes and means of processing personal data. Irisity acts as a data processor, processing data solely under the customer's instructions. This distinction is outlined in Irisity's Privacy Policy.

In all deployments whether cloud, hybrid, or on-premise, the customer is the data controller for the video data they collect using our systems. This means the customer is responsible for ensuring that the collection and processing of video data comply with applicable laws and regulations. Irisity processes video data strictly according to the customer's instructions, as detailed in the Video Privacy Policy.

IRIS+ uses strong industry-standard encryption to protect both data at rest and data in transit. All systems handling confidential data are encrypted using XTS-AES-256 or stronger. When data is transmitted over public or untrusted networks, IRIS+ uses encryption based on RSA with 2048-bit keys or better, following secure key exchange and protocol negotiation standards. For cloud deployments, video and metadata are protected using encryption services provided by Google Cloud Platform (GCP). These include hardware-backed key storage and customer-managed encryption keys where required. For on-premise installations, customers retain full control over their storage and network environment. Irisity recommends and supports encrypted deployments, and tools such as BitLocker or equivalent must be used for securing endpoints and storage devices. Encryption protocols are applied across: -Stored video recordings and metadata -User credentials and authentication tokens -Communication between system components -Remote access via VPNs and 2FA-enforced tunnels This approach ensures confidentiality and integrity of sensitive information and supports compliance with GDPR and ISO/IEC 27001 requirements.

Yes. Admins assign permissions via Security Groups, restricting folder/camera access enabling restriction of access by folder, camera, or specific features. This ensures that users have access only to the data and functionalities necessary for their roles.

Users configure 2FA via Account Settings > Configure Authenticator using an app like Google Authenticator.

IRIS+ logs user actions, system changes, and access attempts for compliance audits.

IRIS+ includes features like black masking, dynamic masking, and background masking to anonymize individuals in live and recorded video. At sensitive installations, such as schools, complete anonymization is employed, where detected individuals are white-masked or replaced with low-resolution versions to hide identities. This approach aligns with GDPR's "Privacy by Design" principle.

Customers have the right to access, rectify, or delete their personal data processed by Irisity. Requests can be directed to Irisity's Customer Success team at success@irisity.com or by mail to: Data Protection Officer Irisity AB (publ) Lindholmspiren 7 417 56 Göteborg, Sweden

Licenses are not tied to specific cameras. Admins can reassign AI analytics between cameras via the IRIS+ portal.

No. Licenses are applied per camera, not per Edge Device.

Licenses are issued electronically after purchase order confirmation.

Yes. Concurrent licenses allow shared access, while Named User licenses are assigned to individuals.

Genetec, Milestone, Immix, Axis, Lenel and more. Read about integration here https://irisity.com/products/integrations/.

Yes. The REST API allows access to sensors, events, and rules. Contact support to enable it.

Create a service account in Settings > Users > Create Service Account, then generate a token with an expiration date.

Yes. Use WebHooks to send real-time event data to external platforms or integrate IRIS+ with other VMS systems like Genetec, Milestone, Immix, Axis, Lenel and more. Read about integration here https://irisity.com/products/integrations/.

Yes. ONVIF compatibility ensures integration with most IP cameras.

Minimum 320x240 or higher. FullHD (1080p) recommended.

20°–50°. Avoid angles below 20° or above 50° for optimal object detection.

Metadata uses ~5–10 Kbps per camera. Video streams depend on resolution.

CPU: 4+ cores (Intel i3equivalent).
RAM: 8GB+.
Storage: 500GB+ SSD.

Yes. Edge Devices use Docker containers for scalable, isolated service deployments.

Visit https://irisity.com/support-documentation/.

Yes. Contact sales for customized training on AI configuration and platform management.

Yes. The IRIS+ portal includes tutorials for camera setup, rule creation, and forensic searches.

Configurable retention periods (default: 30 days). Extend via the Administrator Module.

Yes. Metadata and video clips are exportable in CSV/MP4 formats.

Yes. The Investigate module overlays events on digital maps for spatial analysis.

Submit a ticket at https://irisity.com/submit-a-support-request/ or visit https://irisity.com/contact-us/

English, with regional partners offering local language assistance.

Monday–Friday, 08:00–17:00 CET.

For enterprise contracts only.