VISYLIX

Visylix supports thousands of concurrent streams per node, and multi-cluster federation is designed toward very large, city-scale estates. Exact capacity depends on your resolution, codec, frame rate and how many analytics you run per stream, so we validate it on your own hardware during the proof of concept. ONVIF auto-discovery and RTSP auto-detection across 30+ URL patterns automatically find and configure cameras from 15+ brands, including OEM lines, such as Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha, and more.

Visylix offers 22 in-house AI analytics, scoped to your plan: (1) Face Recognition with large-scale face database and fast matching, (2) License Plate Recognition (ANPR/ALPR) reading plates worldwide with a single global model, trained with Indian plate data, two-stage small-plate recovery and multi-frame confidence voting, (3) Object Detection with 80 categories, (4) Person Tracking with per-camera tracking plus v1 cross-camera appearance journeys, (5) Crowd Detection, (6) Safety Gear/PPE Detection, (7) Heat Map Analytics, (8) Motion Detection with adaptive baselines, (9) Pose Estimation with fall detection, (10) Unique Person Counting, (11) Intrusion Detection, (12) Line Crossing Detection, (13) Camera Tampering Detection, (14) Abandoned Object Detection, (15) Tailgating Detection, (16) Queue and Wait-Time Analytics, (17) Parking Occupancy, (18) Speed Estimation, (19) Fire and Smoke Detection, (20) Weapon Detection, (21) Audio Event Detection, and (22) Anomaly Detection. The parts that adapt are specific and bounded: per-camera scene baselines for motion, audio, crowd and tamper calibrate to your environment, anomaly detection trains a baseline per camera, and operators receive threshold retune suggestions they approve before anything changes. Detection accuracy depends on camera angle, lighting and scene, so we validate each analytic on your own footage during the proof of concept.

Yes. Visylix supports on-premise, private cloud, hybrid, and fully air-gapped deployment. The entire system operates without internet after initial installation. Installation is a single command that auto-detects hardware and tunes database pools, worker counts, and connection limits. Online, offline, and Windows installers are available.

Visylix supports 13+ streaming protocols natively in a first-party engine, rather than wrapping FFmpeg or an open-source streaming server. Ingest protocols: RTSP (with Digest Auth), RTMP, SRT, ONVIF (Profile S/T/G), NDI, MPEG-TS, RIST, and GB/T 28181. Output protocols: WebRTC (WHEP/WHIP) with sub-second live view, HLS and LL-HLS with partial segments, RTSP, HTTP-FLV, HTTP-TS, and DASH. Includes automatic TURN relay over UDP, TCP and TLS, and tile-aware main or sub stream selection.

Yes. Visylix masks faces live on the operator view and burns server-side face, plate and custom-region redaction into every exported clip. It provides on-premise data sovereignty, air-gap compatibility, configurable retention policies, RBAC with 46 permissions across 4 roles, MFA with TOTP and passkeys, SSO (SAML 2.0 and OIDC), Active Directory and LDAP sign-in, evidence locks with SHA-256 integrity verification and chain of custody, and a comprehensive audit trail logging every action with timestamp, IP, and user agent.

Radha is a conversational AI assistant built specifically for video management, and the only VMS copilot we know of that is conversational, action-taking and fully on-premise at once. It runs 100% on-premise with 109 integrated tools across every capability area: camera management, recording and NVR playback, snapshot operations, AI analytics, alarms and sensors, camera fault diagnosis, bulk fleet actions, capacity and sizing, system monitoring, automation, and navigation. It supports multi-turn conversations, role-based access, prompt injection protection, per-user rate limiting, and timezone-aware time references.

Yes. Visylix provides NVR forensic access to recordings stored on external NVR devices across 6 native NVR protocols covering 15+ brands including OEM lines: Hikvision, Dahua, Uniview, Bosch, Panasonic i-PRO, I8H/AntsVision, and Dahua-based OEMs such as CP Plus, Honeywell, Sparsh and Godrej. Features include time-range search, multi-channel forensic grid, variable-speed playback up to 8x, and recording download as MP4 for your evidence workflow.

Visylix offers 22 native AI analytics (face recognition, ANPR, crowd detection, person tracking, pose estimation, PPE detection, and more) that Milestone XProtect requires third-party plugins for. Visylix handles thousands of concurrent streams per node with an optimized architecture, sub-second live view over WebRTC, and flexible cloud/on-premise/edge/hybrid deployment. Visylix has flat plan pricing with unlimited streams on every paid plan and no per-camera or per-server licensing.

Visylix integrates 22 AI analytics directly into the VMS without requiring Genetec's separate Analytics modules. Visylix offers edge AI deployment on supported edge compute devices, no per-camera pricing, and thousands of concurrent streams per node, making it a cost-effective alternative to Genetec Security Center.

While Wowza is a general-purpose streaming server, Visylix combines sub-second live view over WebRTC with 22 in-house AI analytics for surveillance. Visylix supports RTSP, RTMP, HLS, WebRTC, SRT, and ONVIF with real-time AI processing, making it an all-in-one streaming + analytics + VMS platform that replaces Wowza plus separate analytics tools.

Visylix offers enterprise-grade AI video analytics integrated directly into the streaming pipeline, with 22 AI analytics including face recognition, ANPR, crowd detection, and more. Ant Media Server is a general-purpose WebRTC server without built-in AI analytics. Visylix handles thousands of concurrent streams per node with GPU inference and supports cloud/on-premise/edge/hybrid deployment.

Unlike Verkada's cloud-only, proprietary-hardware model, Visylix supports cloud, on-premise, edge, and hybrid deployment with any ONVIF camera. Visylix offers 22 AI analytics, thousands of concurrent streams per node, no mandatory cloud subscription fees, and full data sovereignty, making it ideal for organizations whose compliance rules require video to stay on their own premises.

Visylix includes 22 in-house AI analytics that Nx Witness (Network Optix) requires third-party plugins for. Visylix's optimized architecture scales with thousands of concurrent streams per node, hardware-accelerated AI inference, sub-second live view over WebRTC, and enterprise-grade support.

Visylix provides real-time AI analytics during live streaming, while BriefCam focuses on post-event video synopsis. Visylix is a complete VMS + AI analytics platform with 22 AI analytics, thousands of concurrent streams per node, and integrated video management, eliminating the need for a separate VMS alongside BriefCam.

Visylix supports full on-premise and hybrid deployment that Eagle Eye Networks and Rhombus's cloud-focused models cannot. Visylix works with any ONVIF camera (not proprietary hardware), includes 22 in-house AI analytics, and has no per-camera cloud fees. It handles thousands of concurrent streams per node with enterprise-grade scalability.

While Flussonic and Nimble Streamer are general-purpose streaming servers, Visylix integrates 22 AI analytics directly into the streaming pipeline for real-time intelligent video processing. Visylix is a complete enterprise VMS platform with AI analytics, recording, event management, and sub-second live view over WebRTC, not just a streaming server.

Visylix handles thousands of concurrent streams per node without per-camera pricing. Visylix offers 22 in-house AI analytics, scoped to your plan, with GPU-accelerated inference, full on-premise/edge/hybrid deployment options, and a complete VMS platform including streaming, recording, and integration APIs.

Yes. Visylix is an enterprise-grade platform that scales far beyond Blue Iris's single-server limitations. Visylix handles thousands of concurrent streams per node, offers 22 in-house AI analytics, scoped to your plan (face recognition, ANPR, crowd detection, intrusion detection), multi-site management, hardware-accelerated inference, enterprise support, and cloud/on-premise/edge/hybrid deployment.

Visylix evidence management provides SHA-256 integrity hashing, an audited chain of custody, evidence locks that exempt footage from retention, and export as a self-contained player that verifies integrity offline. Every evidence action (view, export, share) is written to the audit trail with timestamp, user, IP, and action metadata. Case sharing uses signed, revocable links (1 hour to 30 days, optional view limits) watermarked with the recipient, and GDPR and CCPA data-subject export and delete workflows are built in.

Yes. Enterprise deployments include HA with primary-standby replication and operator-initiated standby cutover, keeping video ingestion, AI inference, and Radha AI Copilot online during hardware or network failures. Operator-initiated cutover switches traffic to the standby with a documented runbook: RTO under 60 seconds and RPO under 5 seconds, with configurable health checks and DNS-based or L4 load balancer cutover. Fully automatic failover without operator action is on the roadmap, not shipping today.

Visylix supports unlimited polygonal detection zones, directional virtual tripwires for line-crossing counting, and per-zone AI rules (which models run, which thresholds apply, which schedule activates). Zones are drawn directly on the camera preview with per-zone sensitivity, per-zone alerts, and per-zone recording triggers. Tripwires count entries and exits separately with direction awareness.

Visylix delivers alerts across four channels simultaneously: SMS (Twilio integration), email with inline thumbnails, HMAC-signed webhooks for custom endpoints, and MQTT for IoT/SCADA systems, alongside in-app notifications. Per-user subscription preferences, quiet-hours scheduling, severity routing, and acknowledgment tracking ensure alerts reach the right people without noise.

The Enterprise tier includes automatic archiving to S3-compatible storage (AWS S3, Cloudflare R2, Wasabi, MinIO, Ceph). Recordings older than a set age move from local disk to the archive after an integrity check, with Glacier Instant Retrieval or Deep Archive as options on AWS. Archived footage remains instantly searchable via metadata and can be pulled back on-demand for investigation.

Yes. Visylix ingests access-control events from HID (Origo/Mercury), Lenel S2 / OnGuard, AMAG Symmetry, Brivo, and Genea/Openpath via signature-verified webhooks, parsing each vendor's native event format. Every door event is automatically bookmarked against the mapped cameras, giving a unified badge-and-video timeline for investigations.

Yes. Visylix streams alerts, detections, and audit events to SIEM platforms (Splunk, Elastic, Datadog, QRadar) via structured JSON logs, HTTPS push, or direct Splunk HEC. For PSIM, Visylix exposes outbound bridges to Genetec Mission Control, Bosch BIS, and any PSIM that accepts an HMAC-signed JSON webhook, centralizing video into command-and-control dashboards.

Yes. On the Enterprise plan, Visylix dewarps 360° fisheye cameras in the live focused view as a browser-side virtual PTZ: drag to pan, scroll to zoom, rendered with WebGL on the operator's GPU so the server sends the stream untouched and analytics keep running on the raw feed.

Yes, for the video wall. The Enterprise tier includes a browser video wall with grids from 1×1 to 6×6, per-cell camera bindings, auto-cycling camera sets and keyboard navigation for NOC and command-center screens. Each wall screen runs as its own browser view.

None today: Visylix is web-first. The full interface runs in any modern mobile browser, with live view over WebRTC, alerts and one-tap acknowledgement, so there is nothing to install. Native iOS and Android apps are not part of the current release.

Yes. Pro tier and above include WebAuthn / Passkeys (FIDO2) login, eliminating password reuse and phishing risk. Admins can enforce MFA (TOTP + recovery codes) at the Starter tier and passkey-only login for privileged roles.

Visylix privacy redaction runs server-side on exports: it blurs faces, license plates, or both, plus time-ranged custom polygons, and writes a new redacted MP4. Redaction of every class is included on Enterprise. Live view masks faces as an on-screen overlay, with configurable exemption rules for authorized RBAC roles (e.g., law enforcement can view un-redacted footage with audit logging).

The Enterprise tier includes SSO via SAML 2.0 and OIDC, compatible with Okta, Azure AD / Entra ID, Google Workspace, Auth0, OneLogin, PingIdentity, and any standards-compliant IdP. Multi-site federation lets one home install run cross-site search and federated live view across registered Visylix sites, with video staying at each site. Active Directory and LDAP sign-in are also built in.

Yes. Pro tier and above include official Python and TypeScript SDKs covering the full 450+ endpoint REST API. Both SDKs support live stream control, recording management, AI detection queries, camera provisioning, RBAC operations, and webhook subscriptions with fully-typed request/response models.

Yes. The License Plate Recognition (ANPR/ALPR) model does more than read plates. It also classifies vehicle type (car, van, truck, bus) and colour with a learned attribute model, and tracks direction of travel, so every vehicle detection carries both a plate string and a rich appearance profile for downstream search and filtering.

Yes. The engine includes adaptive backpressure (dropping non-reference frames while preserving keyframes for slow subscribers) and a circuit breaker that monitors CPU load in real time, gracefully degrading service at 70%, 85%, and 95% CPU thresholds rather than crashing. New viewers receive the cached Group of Pictures instantly, eliminating the "waiting for keyframe" delay typical of other streaming systems.

Yes. Visylix automatically transcodes H.265 (HEVC) to H.264 in real time for browsers and clients that lack HEVC hardware support. Audio transcoding (G.711, AAC → Opus) happens server-side for WebRTC delivery with proper sample-rate conversion and channel remapping, so operators never have to think about codec compatibility.

Yes, and it is designed to get quieter over time. About 10 of the 22 models adapt to your site: face recognition refines each identity's template from confirmed matches with anti-poisoning guards; fire, weapon, PPE, and object detectors calibrate a per-camera false-alarm threshold from operator dismissals, which by design can only make a safety detector more conservative, never less, with a drift-freeze guard that reverts a runaway camera to baseline; and motion, audio, crowd, camera-tampering, and anomaly each learn their camera's own normal. All adaptation is bounded, reversible, operator-supervised, and runs on-premise. An opt-in, human-approved fine-tune queue can improve the detector models with eval-before-swap, so a new model only ships if it beats the old one. Nothing trains automatically and nothing leaves the premises.

Yes, in a version 1 form. Cross-camera appearance search and person journeys ship today: pick a person from any detection and Visylix finds appearance matches on the site's other cameras within a time window and assembles a chronological path with travel times between cameras. Because it is appearance-based (visual similarity), it returns candidates for an operator to review rather than asserting identity automatically. A purpose-trained re-identification model for higher precision is in our training pipeline. For vehicles, plate journeys give exact cross-camera tracking by plate string. Both are available in plain language through Radha and run entirely on-premise.

Two ways. On its own, Visylix counts how many people cross a door, turnstile, or mantrap and alerts on group crossings using directional, entry-side logic, with no extra hardware. When integrated with an access-control system (HID, LenelS2, AMAG, Brivo and Genea are supported natively, plus a generic event format), it correlates how many people crossed the door with how many badges were presented and alerts only when more people entered than credentials, the true piggyback signal. The access-control correlation is opt-in.

Yes. Queue analytics report the live service rate and a predicted wait time for someone joining the queue now, computed from how fast the queue is actually clearing, alongside the current queue length. The prediction reflects real conditions at that counter and updates continuously as the line speeds up or slows down.

No. Visylix runs fully on-premise. All AI inference, model adaptation, cross-camera journeys, and analytics happen on your own hardware, and it operates in fully air-gapped deployments after installation. No frames, detections, faces, plates, or learned baselines are sent to any external service. Aptibit operates no cloud service, so there is nothing for Visylix to call home to.