Frequently asked questions (FAQ)

Yes — we have an in-house R&D team and can build solutions tailored to unique requirements.

We offer SaaS, pay-as-you-go cloud billing, and licensing. Pricing depends mainly on the number of cameras/video streams, selected analytics modules, and required compute resources. We prepare a tailored quote after a short scoping call.

Yes — in many cases we can offer a trial to validate performance in real conditions (your cameras, your scenarios). If the use case requires custom analytics development or additional implementation work, trial terms are agreed individually. After the trial, we review results and recommend next rollout steps.

We start with a discovery meeting to clarify business goals and assess processes/data readiness. Next, we run requirements engineering (scope, KPIs, risks, integrations), build a PoC for a priority use case, and execute a pilot in real conditions. Once outcomes are validated, we move to a full roll-out (scaling across sites/processes) with an implementation plan, adoption support, and ongoing operations.

No — our algorithms integrate with existing CCTV infrastructure, so major hardware upgrades are typically unnecessary. If you don’t have cameras yet, we help select appropriate models.

No — our solutions work with standard, affordable cameras as long as they support remote access and streaming to the compute environment — either in the cloud or on the client’s on-prem infrastructure.

Yes — solutions can be licensed for key clients, with full technical support.

Yes — solutions can be deployed on the client’s infrastructure for on-site processing of sensitive data.

Yes — you can schedule analytics per site (e.g., nights/weekends), optimizing usage and cost.

Like any detection system, false positives can occur, but we continuously reduce them through threshold tuning, model improvements, and additional filtering mechanisms. During the pilot, we fine-tune analytics to your cameras, scenarios, and site conditions.

Yes — reporting and analytics are tailored to your needs. We agree on which KPIs and events to track, the frequency (daily/weekly/monthly), and the format (dashboard, PDF/Excel reports, alerts). This ensures reporting supports real operational decisions and outcome tracking.

The average implementation time from contract signing is ~30 days, depending on site specifics and client requirements (e.g., access, camera configuration, and IT constraints). The process starts with an on-site visit or a remote configuration workshop.

Integrations typically use video streams and alert mechanisms; for integration projects, confirm the target VMS/PSIM and the preferred data exchange method (API/webhooks).

Storage is secured and retention is agreed with the client; on-prem processing is possible for sensitive environments.

Yes — analytics can define zones of attention, detect intrusions/unauthorized presence, and reduce false alarms by reacting only to events defined by the client.

Yes — you can set virtual boundaries; crossing the line triggers an alarm and notifies the surveillance team.

We don’t provide physical guarding; we can integrate alerts with your chosen security firm’s response process. Response time depends on location and team availability.

Yes — you define a controlled storage area; any movement triggers an alert and response procedure.

The system can count people over time and send alerts when a rule is met (e.g., below a defined threshold).

Yes — when a person is detected in a restricted area, the system sends a notification and can auto-zoom to support identification.

Yes — it can identify increased vehicle/pedestrian traffic, unauthorized stops, and other significant events.

Yes — license plate identification plus entry/exit time logs significantly improve traffic control on site.

Examples include reception queue monitoring, traffic analytics in key zones (lobby/dining), and insights for better staff planning and guest experience.

Yes — it can trigger alerts when queue thresholds are exceeded and help analyze service quality and efficiency.

Yes — it can help monitor efficiency, identify downtime, and detect operational inefficiencies (e.g., operator movement vs. optimal paths).

You need thermal cameras and analytics tuned to a specific area (a temperature baseline model) to detect subtle anomalies and reduce false alarms from weather/sun/wind.

Video analytics is broadly applicable, but it delivers the fastest value where there are many cameras, operational risk (Safety/Security), or a need to optimize flows (logistics/retail/manufacturing). Use cases are selected to match your business goals.

Yes — in defined work zones, the system can detect violations and generate alerts/compliance reporting to support Safety teams and operations.

Typical use cases include perimeter/restricted-zone monitoring, incident alerts, and thermal anomaly scenarios. For sensitive environments, on-site processing can be deployed.

Common quick wins: ANPR at gates, monitoring queues and traffic flows, restricted-zone alerts, and Safety scenarios in yard areas.

It helps measure and optimize queues, zone occupancy, and footfall flows — supporting operational decisions (staffing, opening tills, zone layout).

These are computer vision algorithms that detect objects and events in CCTV footage — from simple alerts to advanced scenarios. They automate monitoring and speed up response to critical events.

The system sends alerts via email, SMS, or voice call; it can also highlight the detected object on screen.

Yes — SMS/email/voice call enable swift response.

Yes — with thermal imaging cameras, monitoring and tracking works even in complete darkness without extra lighting.

Yes — counting supports traffic flow monitoring and statistical analysis.

Real-time monitoring requires IP cameras with internet access. For offline analytics, recordings can be provided; a VPN can be configured for cybersecurity.

Data is stored securely in cloud facilities; the storage location can be changed upon request.

Determined individually with the client.

No — the system operates automatically based on pre-defined parameters.

Technical service is determined individually with the client, and the system is monitored 24/7.

Yes — a mobile platform with its own generator can be used and integrated with security firms’ mobile platforms.