Private Property Security:
AI Video Analytics by IncoreSoft

Your home, apartment block, or gated community is more than a building — it’s peace of mind. But fences and cameras alone aren’t enough anymore. AI-powered video analytics turn passive footage into actionable alerts: licence plates automatically logged at entries, suspicious behaviour flagged in real time, and smoke detected before a small spark becomes a catastrophe. That’s the promise IncoreSoft delivers with its VEZHA® suite.

AI doesn’t just watch — it understands patterns. With VEZHA®, your property gains a 24/7 digital guardian that learns daily routines, recognises anomalies, and adapts to the unique flow of your site. Whether it’s preventing unauthorised access, monitoring visitor activity, or ensuring rapid response to emergencies, VEZHA® elevates safety from reactive to proactive, giving residents and administrators confidence in every moment.
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What IncoreSoft actually does for private property

  • License Plate Recognition (LPR / ALPR): automatic plate read, vehicle make/model/color, route tracking.
  • Face Recognition: detect known persons, compare streams to watchlists and get instant alerts.
  • Object & Motion Detection: zoning for fences, parking lots, and play areas — triggers if someone crosses a virtual line or leaves an object.
  • Smoke & Fire Detection: visual early warning of flame or smoke in camera view.
  • Integrations: plugs into Milestone XProtect, Nx Meta and common VMS platforms for single-console operation.

How this helps you — benefits for homeowners and managers

Immediate outcomes you’ll notice

  • Fewer false alarms. Smart filters cut down routine triggers so you only get meaningful alerts.
  • Faster investigations. Plate and face metadata shorten the time to identify vehicles and people.
  • Proactive safety. Smoke/fire detection and persistent loitering alerts let you act before things escalate.
  • Seamless operations. Integrations with common VMS mean your security team doesn’t need new consoles.

Use-case

  • Gated communities: automatic gate opening for recognised plates + enforcement of visitor logs.
  • Apartment complexes: face recognition for flagged persons + zone-based loitering detection.
  • High-value private estates: integrated smoke & fire detection plus real-time vehicle tracking.
20-100
Cantidad de Cámaras
Servidor
Tipo de Analítica
Milestone XProtect,
Nx Meta
Vezha
Integraciones
20-100

Cantidad de Cámaras

Servidor

Tipo de Analítica

Milestone XProtect,
Nx Meta

Integraciones

Implementation tips — practical advice from industry deployments

  • Start with a pilot: 5–10 cameras in high-risk zones.
  • Calibrate LPR for local plate formats — local tuning matters. (IncoreSoft notes local calibration improves accuracy.)  
  • Use existing VMS integration plugins to avoid new operator training.
  • Set conservative alert thresholds initially to avoid alarm fatigue.
  • Assign clear incident-handling SOPs for alerts.
  • Audit retention and access controls monthly.
  • Collect feedback from residents and adjust sensitivity where needed.

Product comparison — which analytics for which problem

Característica
Mejor para
What it delivers

Reconocimiento de matrículas

Vehicle access & parking control

Plate number, make/model/color, direction, time-stamped logs.

Reconocimiento facial

Watchlists, VIP access

Matches faces to watchlists; alerts on entry/exit.

Detección de objetos

Perimeter, lost/left objects

Detects people, vehicles, animals within zones; abandoned object alerts.

Smoke & Fire Detection

Early fire prevention

Visual detection of flame/smoke at the source; early-stage alerts.

Motion Detection

Line crossing / intrusion

Triggers on line crossings, loitering, or area invasion.

Integrations & compatibility — plug into systems you already use

  • If your site runs Milestone XProtect or Nx Witness, IncoreSoft’s VEZHA® modules connect through ready plugins. It’s also compatible with mainstream camera brands like Axis and other high-quality cameras. That means you can keep much of the existing hardware and add AI intelligence on top.

Privacy, compliance, and sensible deployment

Don’t ignore privacy

People worry about face and plate data — and rightly so. A robust deployment clarifies data retention, who can see alerts, and encryption in transit and at rest. IncoreSoft’s products support role-based access and AD/LDAP integration so admins can control who accesses sensitive data.

Best practice checklist

  • Keep retention short for non-event footage.
  • Use role-based access and audit logs.
  • Display clear signage if you use face recognition (legal requirements differ by country).
  • Consider edge processing for sensitive areas to reduce cloud exposure.

Frequently Asked Questions (FAQs)

It can if deployed without controls. Use short retention, role-based access, signage, and keep processing at the edge where possible. Check local laws — many regions require special handling of biometric data.

Yes — with the right camera, illumination, and local calibration. IncoreSoft’s materials note the need for local tuning for plate formats and camera angles.

Typically yes — VEZHA® supports common VMS plugins (Milestone, Nx) and many camera brands. That’s one reason property managers adopt analytics plugins rather than rip-and-replace.

That depends on layout. Many private property deployments begin with 20–100 cameras for full perimeter and internal coverage; pilot the high-risk zones first to refine settings.

Vendors often publish success stories via partners and demos. Ask IncoreSoft or your integrator for anonymized KPI improvements from similar installs — they can show incident reductions, ticket time saved, and plate-match success rates.

Axis, Bosch, and other reputable manufacturers are commonly used in conjunction with IncoreSoft’s analytics. Ensure cameras support the resolution and framerate needed for LPR and face recognition.

Contact IncoreSoft through their site or work with an authorized Milestone/Nx partner to arrange a demo and pilot. They provide plugins and trial configs for straightforward evaluation.

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