Visual Intelligence

What a Camera Sees
vs. What KenVision Understands

Every camera already captures the scene. KenVision adds the layer of understanding that turns pixels into actionable intelligence.

Raw Camera Feed

14:32:07 · CAM-01

Passive recording. No context. No alerts. No insight.

AI

KenVision Intelligence

ZONE A · Monitored

14:32:07 · CAM-01

Visitors in zone3

Avg dwell time2m 14s

Hotspot areaAisle B

Staff response neededNo

Detection

People, vehicles, objects — identified frame by frame

Tracking

Persistent IDs across occlusions and camera boundaries

Pattern Recognition

Behaviour anomalies, journey mapping, dwell analysis

Instant Alerts

Rule-based and AI-triggered notifications in <2 seconds

Industries

Built for Your
Specific Environment

KenVision isn't generic surveillance — it's configured for the operational reality of your industry.

Retail Intelligence

Stop guessing. Start knowing exactly what drives sales.

Retail spaces generate rich behavioural signals every minute — but most of it is invisible to operators. KenVision makes the invisible visible: who enters, where they go, how long they stay, and what they interact with.

Problem

Unknown customer journey — high footfall but poor conversion, no understanding of drop-off zones.

KenVision Solution

Customer journey heatmaps, zone engagement scores, dwell time per aisle, and conversion funnel analysis.

Problem

Shoplifting and product theft reducing margin, security teams overwhelmed by false alerts.

KenVision Solution

Unusual item concealment detection, loitering alerts, and smart escalation that filters false positives.

30%

Shrinkage reduction

25%

Conversion improvement

60%

Queue wait reduction

Get a Retail Demo

Retail Use Cases

1

Footfall Analytics
Count visitors by entry point, hour, and day. Compare store zones. Identify peak times for staffing.

2

Customer Journey Mapping
Trace movement paths through the store. Understand which zones are passed, skipped, or engaged.

3

Queue & Checkout Intelligence
Detect queue length in real time. Alert staff to open registers before wait exceeds threshold.

4

Loss Prevention
Detect concealment behaviour, loitering in blind spots, and after-hours access anomalies automatically.

5

Planogram Compliance
Verify shelf layouts and product placement match planogram — flagging gaps or displacements instantly.

Quick Service Restaurants

Every minute of wait time is revenue lost. KenVision sees the queue before it forms.

QSR operations run on speed. A queue forming at the drive-through, a dining area at capacity, kitchen throughput falling behind peak demand — KenVision detects these before they become problems.

Problem

Drive-through queues spike unpredictably, leading to abandoned customers and lost sales.

Solution

Vehicle queue detection with length and wait-time estimation. Automated alerts to kitchen and front-of-house.

Problem

Dining room occupancy unknown — can't predict demand or manage seating flow proactively.

Solution

Real-time occupancy count, table turnover tracking, and peak prediction to staff ahead of rush.

40%

Drive-through wait reduction

15%

Throughput increase

25%

Staff efficiency gain

Get a QSR Demo

QSR Use Cases

1

Drive-Through Queue Intelligence
Count vehicles, estimate wait time, alert when queue exceeds SLA threshold.

2

Dining Occupancy Monitoring
Real-time seating count. Table availability tracking. Turnover time analysis.

3

Peak Prediction & Staffing
Predict rush hour surges 15–30 minutes in advance. Recommend staffing adjustments.

4

Cleanliness Compliance
Detect uncleaned tables, spills, or uncollected trays and alert cleaning staff in real time.

Manufacturing & Industrial

One near-miss that isn't caught can end your operations. KenVision doesn't blink.

Factory floors operate under pressure — safety regulations, production throughput, compliance requirements. KenVision monitors PPE compliance, restricted zone entry, and workflow efficiency simultaneously across your entire facility.

Problem

PPE violations happen in blind spots. Manual checks miss incidents. Non-compliance goes undetected until injury.

Solution

Helmet, vest, glove, and mask detection on every worker in every zone — real-time, automated, always on.

Problem

Restricted zone intrusions — workers entering hazard areas without authorisation creating liability risk.

Solution

Virtual perimeter alerts on any camera feed. Immediate notification to safety team with timestamped clip.

80%

PPE violation reduction

60%

Faster incident reporting

45%

Cost savings

Get a Manufacturing Demo

Manufacturing Use Cases

1

PPE Compliance Monitoring
Detect missing helmets, vests, gloves, masks on every person entering any camera zone.

2

Restricted Zone Alerting
Virtual fence triggers instant alert when an unauthorised person crosses a defined boundary.

3

Production Line Monitoring
Count units, detect stoppages, track worker-to-station presence and throughput efficiency.

4

Ergonomics & Near-Miss Detection
Identify unsafe postures, near-miss incidents, and close-call events before injury occurs.

Logistics & Warehousing

Know exactly where every pallet is and every risk exists — without manual checks.

Warehouses are high-throughput, high-risk environments where accuracy and speed determine performance. KenVision tracks inventory movement, monitors forklift safety, and optimises dock throughput — automatically.

70%

Inventory error reduction

3×

Dock throughput

50%

Safety incident reduction

Get a Logistics Demo

Logistics Use Cases

1

Forklift & Pedestrian Safety
Detect proximity conflicts between forklifts and pedestrians. Alert operators before collision occurs.

2

Inventory Movement Tracking
Track pallets, boxes, and goods through the warehouse without RFID infrastructure.

3

Loading Dock Optimisation
Monitor truck dwell time, dock utilisation, and congestion. Alert dispatch for scheduling adjustments.

4

Theft & Shrinkage Detection
Detect unusual item removal, after-hours access, and suspicious loading activity in real time.

Smart Cities & Public Safety

Give your city the ability to respond before problems escalate.

Cities generate massive visual data from thousands of cameras. KenVision turns that data into situational awareness — crowd density, traffic patterns, incident detection, and anomaly alerts — at city scale.

35%

Faster incident response

20%

Traffic flow improvement

99%

Detection accuracy

Get a Smart City Demo

Smart City Use Cases

1

Crowd Density Management
Monitor crowd size and density in public spaces. Alert emergency services when thresholds are exceeded.

2

Traffic Intelligence
Count vehicles, detect congestion, identify accidents, and feed adaptive signal control systems.

3

Incident Detection
Detect falls, fights, abandoned objects, and unusual behaviour in public areas in under 2 seconds.

4

Illegal Parking & Violations
Automatically flag illegal parking, wrong-way driving, and jaywalking events for enforcement.

Hospitality & Commercial

Guest experience is in the details. KenVision catches every detail.

Hotels, conference centres, and commercial venues face complex flow management challenges. KenVision optimises occupancy, queue management, and service response across every touchpoint.

45%

Check-in wait reduction

30%

Staff efficiency increase

20%

Amenity utilisation improvement

Get a Hospitality Demo

Hospitality Use Cases

1

Lobby & Check-In Queue Management
Monitor queue length in real time. Alert reception when additional staff is needed.

2

Amenity Occupancy Tracking
Real-time pool, gym, and restaurant occupancy. Display live availability to guests.

3

Security & Perimeter Monitoring
Monitor guest-only areas. Detect unauthorised access to restricted zones automatically.

4

Housekeeping Efficiency
Detect when a room has been vacated. Trigger housekeeping dispatch to reduce turnaround time.

Capabilities

Built for Real-World Vision

Every feature engineered to extract maximum intelligence from your existing camera infrastructure.

Object Detection & Multi-Camera Tracking

Industry-leading YOLO v8+ models identify and track hundreds of object classes simultaneously across all connected feeds. Persistent ID assignment maintains object continuity across occlusions and camera boundaries. Cross-camera handoff tracks the same individual from entry to exit — even across 128+ simultaneous feeds.

Behavioural Anomaly Recognition

Learns what normal looks like and flags deviations — loitering, crowd formation, perimeter breaches, and unusual movement trajectories — in real time.

Heatmaps & Journey Analytics

Aggregate movement into spatial heatmaps showing where people go, where they spend time, and where they disengage — across any time window.

Edge Processing

Deploy inference directly on your hardware. Minimise bandwidth, ensure low latency, and operate without cloud dependency.

Privacy-First Design

On-device processing ensures raw video never leaves your perimeter. Face blurring and data retention controls included as standard.

Custom Model Training

Fine-tune detection models on your specific environment, objects, or workflows using your own labelled footage with minimal data requirements.

How It Works

From Camera to Intelligence

Three steps from any camera to real-time actionable insight.

1

Connect Your Cameras

KenVision supports any RTSP, ONVIF, or HTTP stream. Point it at your existing IP cameras, NVRs, or DVRs — no hardware replacement required. Setup takes minutes, not months.

2

AI Processes Every Frame

Inference runs on every frame — detecting objects, classifying behaviours, mapping journeys, and building a live spatial model of your environment. Edge or cloud deployment, your choice.

3

Insights & Actions Delivered

Instant notifications via SMS, email, webhook, or dashboard. Rich event data with clips for every detection. Business reports aggregated and ready every morning.

Dashboard

All Your Intelligence.
One Screen.

The Ken360 dashboard centralises all KenVision intelligence — camera feeds, detection events, footfall trends, and active alerts — into a single, intuitive interface. Monitor one site or a hundred simultaneously.

Live multi-feed view — see all cameras simultaneously with AI overlays

Real-time metrics — footfall, dwell time, queue length, occupancy

Alert management — triaged, prioritised, with clip attachments

Daily & weekly reports — downloadable summaries with trend analysis

See Full Dashboard Demo

1,247

Footfall Today

↑ 12%

3

Active Alerts

↑ 1

4.2m

Avg Dwell

↑ 0.4m

98%

AI Accuracy

Stable

CAM-01 / ENTRY

CAM-02 / AISLE-A

CAM-03 / CHECKOUT

CAM-04 / STORAGE

Queue >8 persons at Checkout 2 — 14:31

Loitering detected near Exit B — 14:28

All zones normal — 14:25

                9am111pm3pm
              

Business Impact

Real Results from
Real Deployments

KenVision customers report measurable outcomes within 90 days of deployment.

30%

Revenue Increase

Retail customers report 25–35% revenue uplift from optimised layouts and reduced queue abandonment.

80%

Incident Reduction

Manufacturing customers reduce safety incidents by up to 80% through proactive PPE and zone monitoring.

40%

Wait Time Cut

QSR and retail customers reduce average wait times by 40% through intelligent queue monitoring and staff alerting.

6mo

Payback Period

Average time to full return on investment for KenVision deployments across all industries.

FAQ

Common Questions
About KenVision

What is KenVision and how does it differ from standard CCTV?

KenVision is an AI video intelligence platform that transforms any camera feed into a source of business insight. Unlike standard CCTV which records passively and requires human review, KenVision analyses every frame in real time — detecting objects, tracking behaviour, mapping customer journeys, and triggering automated alerts. The result is not footage to be reviewed later, but intelligence delivered instantly.

Does KenVision work with my existing cameras?

Yes — KenVision is designed to work with your existing camera infrastructure. It supports any RTSP, ONVIF, or HTTP stream, which covers the vast majority of IP cameras, NVRs, and DVRs on the market. You don't need to replace any hardware. If your cameras produce a video stream, KenVision can analyse it.

What is the setup time and how complex is the deployment?

Most KenVision deployments are live within 3–7 days. The process involves connecting your camera streams to the KenVision processing node (edge hardware or cloud instance), configuring detection zones and alert rules in the dashboard, and a brief model calibration period. Our engineering team supports the entire process, and most configurations require zero custom code.

How does KenVision handle privacy and data protection?

Privacy is built into the architecture. KenVision can run entirely on-premise — all processing happens on hardware within your facility, and raw video never leaves your network. The system outputs structured data (detections, counts, events) rather than video clips. Face anonymisation is available as a standard feature. The platform is designed to meet PIPEDA, GDPR, and enterprise data security requirements.

Can KenVision detect specific behaviours, not just objects?

Yes. Beyond object detection (people, vehicles, items), KenVision recognises behavioural patterns including: loitering in specific zones, crowd formation, queue length and wait time estimation, unusual movement trajectories, item concealment, and dwell time analysis. The system learns what normal looks like in your environment and flags deviations automatically.

What's the difference between KenVision and KenSafety?

KenVision is focused on business intelligence — footfall analytics, customer journey mapping, queue management, and operational efficiency. KenSafety is optimised for worker and site safety — PPE compliance monitoring, hazard zone detection, fire and smoke detection, and safety incident alerting. They share the same underlying computer vision engine but are configured for different outcomes. Many customers run both modules simultaneously through the Ken360 platform.

How accurate is the AI, and what happens with false positives?

KenVision achieves 99% detection accuracy in controlled benchmarks and typically 95–98% in real-world production conditions. False positive rates are managed through confidence thresholds, time-in-zone filters (e.g. only alert after 30 seconds of loitering, not 5), and multi-frame validation. Customers can tune these settings through the dashboard without touching the underlying model.