AI Surveillance & Security Solutions | Infynix Solutions
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AI Surveillance & Security Solutions

At Infynix, we craft growth engines that inspire and endure.

Real-time AI computer vision security, local edge processing, and automated threat alerts for commercial facilities. Traditional video surveillance requires constant human monitoring and usually only records incidents after they happen. Active security uses AI computer vision to detect threats automatically and alert your team in real time.

OUR CAPABILITIES IN
AI Surveillance & Security Solutions

01

Real-Time Threat Detection

Automated perimeter monitoring, intrusion alerts, and motion anomaly detection.

02

Edge Hardware Processing

Running vision AI locally on NVIDIA Jetson hardware for zero latency and complete privacy.

03

Camera Integration

Connecting directly to existing existing IP cameras without replacing hardware.

04

Instant Mobile Alerts

Real-time SMS and app notifications when security boundaries are crossed.

How We Work

01

Measure

We audit your current systems, marketing, and funnels.

02

Design

We architect a custom strategy bridging your exact gaps.

03

Build

We deploy the tech, content, and pipelines required.

04

Launch

We seamlessly roll out the solution with zero downtime.

05

Re-Measure

We track every metric to ensure it meets our strict KPIs.

06

Scale

We optimize the winning channels to compound your returns.

AI vision and security analytics for UK sites that need to know what is happening across warehouses, yards, construction sites, retail floors, car parks and plants without a person watching every screen: intrusion detected at a fence line at night, a forklift and a pedestrian in the same aisle, a worker without a hard hat in a live zone, a vehicle in a loading bay too long, a fire door propped open. Built from our office in Dagenham on the cameras a site already has where they are adequate, and on new hardware where they are not.

The UK is careful about surveillance, and rightly. UK GDPR and the ICO’s guidance on video surveillance apply to any system capturing identifiable people, the Surveillance Camera Code applies to public bodies and is good practice for everyone, and biometric identification of individuals is a different legal category with a high bar. We design systems around events and safety conditions, not tracking people, and every deployment begins with a data protection impact assessment written for that site.

Detection runs on hardware at the site so only events, not continuous footage, leave the premises. Alerts go to the people who can act, with the clip and the location, into the systems the site already runs. Health and safety teams get a record of near misses and PPE compliance they can use in HSE conversations; security teams get fewer false alarms; operations get visibility of dwell times and bottlenecks without anyone watching a wall of monitors.

Logistics and warehousing operators, construction contractors, manufacturers, retailers, car park and facilities operators, ports and yards, and estates with perimeters to protect.

What the system does

Perimeter and intrusion detection

People and vehicles in defined zones at defined times, with far fewer false alarms than motion detection.

Vehicle and pedestrian separation

Forklift, truck and pedestrian interactions detected and logged as near misses.

PPE and safety compliance

Hard hats, high-visibility clothing and exclusion zones monitored in live areas.

Loading bay and yard analytics

Dwell times, occupancy and blocked routes reported to operations.

Fire and access events

Propped doors, blocked exits and after-hours access flagged in real time.

Edge processing

Detection on site hardware so footage stays on the premises and bandwidth stays low.

Alerting and integration

Events to phones, control rooms, incident systems and access control with clips attached.

Governance

DPIA, signage, retention, access controls and audit logs built into the deployment.

Deployment stages

StageTypical durationOutput
Site survey and DPIA1 to 3 weeksCamera assessment, use cases, data protection impact assessment
Pilot4 to 8 weeksSelected cameras live with tuned detection and measured false alarm rate
Rollout4 to 12 weeksAll zones live, integrations, training for security and safety teams
Tuning period4 weeksThresholds and zones adjusted on real events
Managed serviceMonthlyMonitoring, model updates, hardware health, reporting
Multi-site programmePhasedRepeatable deployment across an estate

Who it is for

Warehousing and logistics

Vehicle and pedestrian safety, yard flow and after-hours intrusion.

Construction

PPE compliance, exclusion zones and site security across changing layouts.

Manufacturing

Machine guarding zones, restricted areas and safety near-miss records.

Retail and car parks

Occupancy, dwell and after-hours events without identifying individuals.

Ports and yards

Perimeters, gates and vehicle movements across large open areas.

Facilities and estates

Fire doors, access points and perimeters across multiple buildings.

Ways of working

Survey and pilot

One site, a few cameras, measured results and a written DPIA before any rollout.

Site deployment

A full site live with integrations and training as a fixed-scope project.

Estate programme

A repeatable deployment across many sites with central reporting.

Managed service

Monitoring, tuning, updates and reporting month to month.

Events, not people

The systems that get UK businesses into trouble are the ones that identify and track individuals without a clear basis. The systems that help are the ones that detect conditions: a person in a zone that should be empty, a vehicle where a pedestrian is, a missing hard hat, a door that should be shut. None of those require knowing who the person is, and designing them that way keeps the data protection analysis straightforward.

We build detection around events and conditions, keep footage on site with retention set to the purpose, blur or exclude areas where privacy demands it, and write the DPIA for the specific site and use cases, with signage and a privacy notice that say what the system actually does.

Condition detection

Zones, times, objects and interactions, not identities.

No biometric identification

Not deployed unless a separate, high-bar case is made.

Privacy zones

Public areas and neighbours masked where required.

DPIA per site

Written for the real cameras and real purposes.

Fewer false alarms than motion detection

Sites that already have alarm-on-motion turn it off within weeks because foxes, rain, headlights and moving shadows trigger it all night. Security staff and keyholders stop responding, which defeats the point. Object detection tuned to the site distinguishes a person at the fence from a fox, a vehicle in the yard from a tree in the wind, and raises an alert only when the condition is met.

The pilot measures the false alarm rate against the old system, thresholds and zones are tuned on real events during the first weeks, and alerts carry a clip so the responder can confirm before anyone is sent.

Object detection

People and vehicles, not movement.

Tuned on site

Zones and thresholds adjusted on real events.

Measured

False alarm rate compared with the previous system.

Clip attached

Responders confirm before acting.

A safety record the HSE conversation can use

Near misses between forklifts and pedestrians, PPE lapses and exclusion zone breaches happen every day on busy sites and are almost never recorded, so the safety team is managing from incident reports written after someone was hurt. A vision system records the near misses as they happen, with location, time and a clip.

Safety managers receive a daily and weekly picture of where the risks are concentrated, by zone, shift and time of day, and can put the evidence behind a layout change, a training intervention or a conversation with a contractor.

Near misses logged

Interactions recorded that would otherwise go unreported.

By zone and shift

Where and when risk concentrates.

Evidence for change

Data behind layout, training and contractor decisions.

Contractor visibility

Compliance across subcontractors on a shared site.

Processing on site, integrated with what you run

Streaming every camera to the cloud is expensive, slow and creates a large store of footage nobody wants to hold. Running detection on hardware at the site means the footage stays where it is captured, only events leave, and the system keeps working when the connection drops.

Events are delivered to phones, the control room, the incident management system, access control or the building management system, in the format each expects, so the vision system becomes part of how the site already operates rather than another screen.

Edge hardware

Detection at the site, footage stays on the premises.

Works offline

Detection continues when the connection drops.

Integrated alerts

Phones, control room, incident and access systems.

Existing cameras

Used where adequate, replaced only where they are not.

Further reading

AI Surveillance & Security Solutions in our other markets

Infynix Solutions is registered separately in India, the United Kingdom and the United Arab Emirates. This page covers United Kingdom. The same service, written for the other markets:

AI Surveillance & Security Solutions questions

Does this work with existing cameras?

Yes, our vision software connects directly to standard video surveillance and IP camera streams.

Is video sent to external servers?

No. Video analytics process locally on your on-site edge hardware for privacy.

Is this legal under UK GDPR?

Video surveillance of identifiable people is regulated but permitted with a lawful basis, proportionality, signage and governance. We design around events rather than identities, write a DPIA for each site and set retention and access to the purpose, following ICO guidance and the Surveillance Camera Code.

Do you do facial recognition?

Not as standard. Biometric identification of individuals has a much higher legal bar in the UK and is rarely necessary for security or safety outcomes. We only consider it where a separate, documented case is made and the governance is in place.

Can you use our existing cameras?

Usually, yes. The survey assesses each camera’s resolution, angle and lighting for the intended detection; adequate ones are used and only the gaps are filled with new hardware.

How accurate is it?

The pilot measures detection and false alarm rates on your site against your current system, and thresholds and zones are tuned on real events before rollout. We report the numbers rather than quote a generic figure.

Does footage go to the cloud?

No, not by default. Detection runs on hardware at the site, footage stays on the premises under your retention policy, and only events with short clips leave, to the people and systems you choose.

Can it help with health and safety?

Yes. Vehicle and pedestrian near misses, PPE lapses and exclusion zone breaches are recorded by zone, shift and time, giving safety teams evidence for interventions and a record for HSE discussions.

How long does a deployment take?

Survey and DPIA one to three weeks, a pilot four to eight, and a full site rollout four to twelve depending on size, followed by a tuning period on real events.

What does the managed service include?

Monitoring of the hardware and detection quality, model and software updates, threshold tuning as the site changes, and regular reporting for security and safety teams.

Can the system work across multiple sites?

Yes. Each site runs its own detection on local hardware, and events and reporting are centralised so a security or safety team can see the whole estate.

What do staff and visitors need to be told?

Signage and a privacy notice stating that video analytics are in use, the purposes and who to contact, which we prepare with the DPIA. Staff consultation is recommended where monitoring affects them.

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