Question 1

Is ZAISENSE a surveillance system?

Accepted Answer

No. ZAISENSE is an AI-driven video analytics platform designed for operational intelligence - not security monitoring. The system analyses movement patterns and behavioural data to help businesses make better operational and commercial decisions, not to monitor individuals.

Question 2

Does ZAISENSE use facial recognition?

Accepted Answer

No. ZAISENSE captures movement data and behavioural attributes without recording or storing identifiable facial images. The system is designed with privacy as a core architectural principle - not a legal afterthought. Face blurring capabilities are also available for additional visual anonymization.

Question 3

What is the difference between SmartCam and Pano?

Accepted Answer

SmartCam is your intelligent analyst - a 4MP AI dome camera optimised for detailed attribute recognition: demographics, staff exclusion, journey mapping, and cross-camera re-identification. Pano is your 360° observer - a fisheye heatmap sensor optimised for wide-area coverage, movement visualization, and zone traffic analysis across up to 10m diameter spaces. They are complementary and often deployed together.

Question 4

How does staff exclusion work?

Accepted Answer

ZAISENSE SmartCam uses AI to detect uniform characteristics, body attributes, lanyards, and tags associated with staff members. These individuals are automatically excluded from visitor counts - giving you pure customer intelligence. Staff movement can also be tracked separately for operational purposes.

Question 5

Can ZAISENSE work across multiple locations?

Accepted Answer

Yes. ZAISENSE Cloud is built for multi-location management at any scale - from a single store to thousands of global locations - all visible from one centralized dashboard. You can compare performance across locations, benchmark against your best stores, and identify system-wide patterns.

Question 6

Can ZAISENSE integrate with our existing systems?

Accepted Answer

Yes. ZAISENSE Cloud is built API-first and integrates with POS systems, CRM platforms, ERP software, BMS systems, and third-party analytics tools. We fit into your infrastructure - not the other way around.

Question 7

Is ZAISENSE GDPR compliant?

Accepted Answer

Yes. The platform is fully compliant with GDPR and applicable regional data laws. The system is designed around anonymization - tracking movement patterns and behavioural data points, not personal identities. No biometric data is stored.

Question 8

What does the deployment process look like?

Accepted Answer

Deployment follows four steps: (1) Site Survey - we map your space and identify optimal sensor placement; (2) Installation - professional, low-disruption setup by certified engineers; (3) AI Calibration - we tune the system to your specific environment, lighting, and traffic patterns; (4) Go Live - instant access to your ZAISENSE Cloud dashboard.

Question 9

How long does deployment take?

Accepted Answer

For a standard single-location deployment, the process from site survey to go-live typically takes 2–4 weeks depending on site complexity. Multi-location rollouts are phased based on project scope. ZAISENSE requires no complex server infrastructure, which significantly reduces deployment time compared to traditional video analytics systems.

Question 10

Where does processing happen - on device or in the cloud?

Accepted Answer

Core analysis happens on-device at the edge. SmartCam and Pano process movement and behavior locally, then send structured intelligence to ZAISENSE Cloud for dashboards, reporting, benchmarking, and integrations. This model improves latency, resilience, and privacy control.

Question 11

Do you transmit or store raw video in ZAISENSE Cloud?

Accepted Answer

No. ZAISENSE is designed to transmit processed, structured outputs rather than raw footage for analytics workflows. The platform model is explicitly privacy-aware and built around anonymized intelligence, not identity capture.

Question 12

What happens if internet connectivity drops at a site?

Accepted Answer

Edge devices continue operating during connectivity interruptions. Once connectivity is restored, data sync resumes. This protects continuity so temporary outages do not break operational visibility across deployments.

Question 13

How do SmartCam and Pano work together in one deployment?

Accepted Answer

SmartCam handles precision decision points such as entrances, counters, and service zones, while Pano covers wider open areas with 360-degree movement intelligence. Together they provide both detailed and wide-area visibility in a single architecture.

Question 14

What analytics can we expect out of the box?

Accepted Answer

Typical outputs include people counting, demographics, dwell time, heatmaps, pathmaps, queue intelligence, space utilization, and repeat-versus-unique behavior signals. Teams use these to improve layout, staffing, service performance, and commercial conversion.

Question 15

Can ZAISENSE support regulated or sensitive environments?

Accepted Answer

Yes. ZAISENSE is positioned for privacy-sensitive sectors such as healthcare, education, and public environments because privacy is handled as architecture, not as an optional feature. The platform avoids facial recognition and focuses on anonymized behavior intelligence.

Question 16

How are integrations delivered technically?

Accepted Answer

ZAISENSE Cloud is API-first and supports REST APIs, webhooks, exports, and dashboard embedding patterns. This allows analytics outputs to feed existing POS, CRM, ERP, BMS, and BI workflows without replacing your current systems.

Question 17

How does ZAISENSE help with multi-location operations?

Accepted Answer

ZAISENSE Cloud provides centralized multi-location visibility so teams can compare sites, benchmark performance, and detect patterns across regions. It is built for scaling from pilot sites to enterprise portfolios without changing operating model.

Question 18

What does a typical commercial engagement include?

Accepted Answer

A standard engagement includes site consultation, sensor placement planning, deployment, calibration, and dashboard onboarding. The team aligns outputs to your KPIs so the deployment translates into usable operational and commercial decisions.

Frequently AskedQuestions

Frequently Asked
Questions