Edge processing
Custom vision models running on local hardware such as NVIDIA Jetson, so video is analysed on site and footage stays where it was recorded.
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
02
Edge Hardware Processing
03
Camera Integration
04
Instant Mobile Alerts
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 surveillance for Kerala sites, built in Kochi and installed on the cameras you already own. The system watches every camera at once, recognises the events the site has defined, and sends a person an alert with the clip while there is still time to act. Video is analysed on hardware at the site, so footage never has to leave the premises and the system keeps working when the internet does not.
Kerala has more cameras per business than it has people to watch them. A godown in Kalamassery, a jewellery showroom on MG Road, a hospital in Kozhikode, a resort in Wayanad and a gated community in Kakkanad all record everything and see almost nothing until after the fact. The value of the footage is in the moment, and the moment is what a person staring at a wall of screens misses.
We define the events with the people who run the site, tune the models on the site’s own cameras through the monsoon and the night, integrate the alerts with the way the site already responds, and measure false alarms until every alert is worth a look. The existing security company and the camera installer stay; the system reduces the screens they have to watch.
Privacy is designed in rather than promised. Events are detected without identifying individuals wherever identification is not needed, retention is enforced, access is logged, and the DPDP Act and the site’s own rules are applied from the start.
What the system does
Existing cameras
Connected to the IP cameras and recorders already installed, wherever they are capable, without ripping out infrastructure.
Event detection
Intrusion, restricted zones, loitering, queues, occupancy, vehicles and plates, safety compliance, unattended objects, defined per site.
Real-time alerts
To security teams, managers and control rooms by app, WhatsApp, SMS and integration with existing systems.
Operational analytics
Footfall, dwell, queue and occupancy data for retail, hospitality and facilities teams, without identifying individuals.
Privacy by design
Local processing, retention rules, masking where required and access control to the DPDP Act.
Integration
Access control, alarm, building management and incident systems connected so an alert becomes an action.
Monitoring and support
Model accuracy, hardware health and alert quality monitored, with false positives tuned down over time.
Typical engagements and timelines
| Engagement | Typical timeline |
|---|---|
| Site survey and camera assessment | 1 to 2 weeks |
| Pilot on a single site or zone | 4 to 6 weeks |
| Full site deployment | 6 to 12 weeks |
| Multi-site rollout | Phased, per site |
| Monitoring and support | Monthly |
Where it is deployed
Warehouses and logistics
Intrusion after hours, restricted zones, loading bay monitoring and vehicle tracking across godowns and yards.
Industrial units
Safety compliance, restricted area entry and incident detection on sites where a missed event is expensive.
Jewellery and retail
Showroom monitoring, footfall, queues and loss prevention without identifying shoppers.
Hospitals and campuses
Perimeter, after-hours and restricted area monitoring for facilities with many entrances.
Hospitality
Perimeter, back-of-house and occupancy monitoring for resorts and hotels.
Residential communities
Perimeter and access monitoring for gated communities and apartment complexes, with privacy rules respected.
How we engage
Survey and pilot
A site survey and a pilot on one zone to prove the events and tune the alerts before committing.
Deployment project
Full site deployment on a fixed scope with the integrations the site needs.
Managed monitoring
Model, hardware and alert quality monitored and tuned monthly.
A godown at night, a showroom at noon
A distribution godown on the industrial belt cares about one thing between ten at night and six in the morning: is anyone inside who should not be. A jewellery showroom cares about the opposite hours: how many people are inside, whether the queue at the counter is too long, whether anyone has been standing by the exit for ten minutes, and whether the back office door opened when it should not have. The same technology serves both, but the events, the schedules and the alerts are entirely different, and they have to be defined with the people who run each site.
We start every deployment with that conversation, then pilot on one zone until the security team trusts what the system tells them.
Events per site
Defined with the manager and the security team, not from a list.
Schedules
After-hours rules and business-hours rules for the same camera.
Pilot zone first
One area proven before the rest is committed.
Trusted alerts
False alarms measured and tuned down until every alert matters.
Cameras, monsoon and the Kerala power grid
Site conditions in Kerala are their own engineering problem. Monsoon light changes how a camera sees from June to September. Rain on a lens, fogged housings and insects at night produce the false alarms that make control rooms ignore a system. Power cuts and voltage swings reset recorders. Internet connections on industrial estates and plantations drop for hours. A system designed in a lab fails on contact with all of it.
Edge hardware at the site keeps detection running through outages and disconnections, models are tuned on footage from the site’s own seasons, and the survey identifies the cameras, housings and power arrangements that need fixing before the software can be trusted.
Runs through outages
Local hardware with power protection keeps detecting.
Tuned on monsoon footage
Models trained on the site’s real conditions, not stock scenes.
Camera survey
Housings, angles and coverage fixed before deployment.
Works offline
Alerts queue and sync when the connection returns.
Alerts that reach the guard, not the inbox
An alert is only useful if it reaches someone who will act on it, on a channel they will see, with enough information to decide. For most Kerala sites that means a WhatsApp message with a clip to the guard on shift and the manager, an alarm in the control room where there is one, and a door or a light triggered through the existing access control where the site has it. Every event is logged with its clip so the morning review takes minutes and the audit trail exists.
We integrate with the security provider’s process rather than replacing it, and the installer keeps responsibility for the cameras.
Right person, right channel
WhatsApp, app, control room or alarm, by event and time.
Clip attached
The alert carries the footage so the decision is immediate.
Actions triggered
Doors, lights and alarms through existing systems.
Morning review
Every event logged with its clip for a quick daily check.
Watching the premises without surveilling the people
A showroom that identifies every customer, a community that tracks every resident, a hospital that stores months of corridor footage with open access: each is a liability under the DPDP Act and a breach of the trust the cameras are meant to protect. Most security events do not need to know who a person is, only that a person is where they should not be or that a queue has formed. We detect events without identification wherever that is enough, mask faces and plates where required, enforce retention automatically and log every view and export.
For communities, campuses and hospitals we work through the rules with the operator before anything is installed, including signage and the policy residents or patients are entitled to see.
Detection without identification
Events recognised without recording who a person is.
Masking
Faces and plates hidden where the site or the law requires.
Retention enforced
Footage kept as long as needed and deleted automatically after.
Access logged
Who viewed or exported what, recorded.
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 India. 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.
Will it work with the cameras we already have?
Usually. Most IP cameras and recorders installed in recent years are capable. A site survey confirms which cameras work, which housings or angles need fixing, and where coverage is missing, before anything is committed.
What happens during a power cut or when the internet drops?
Detection runs on hardware at the site with power protection, so it continues through outages and disconnections. Alerts are delivered on the local network and synced when the connection returns.
Does the footage go to the cloud?
No. Video is analysed on site and stays there. Only the detected events and their short clips are sent to the people who need them.
Can it handle monsoon conditions?
Yes, because the models are tuned on the site’s own footage across seasons, and the survey fixes the housings and angles that cause rain and night false alarms before deployment.
Can it monitor a jewellery showroom without identifying customers?
Yes. Occupancy, queues, after-hours movement and restricted areas are detected without identifying individuals, with faces masked where required and retention enforced.
Do we need to replace our security agency?
No. The system works with the existing guards, control room and camera installer, reducing the screens a person has to watch and sending alerts into the process they already follow.
How long does a deployment take?
A survey takes one to two weeks, a pilot on one zone four to six, and a full site six to twelve depending on cameras and integrations. Multi-site rollouts are phased.
How do you keep false alarms down?
By tuning the models on the site’s real conditions, measuring alert quality every month and adjusting until every alert is worth a look. A system that cries wolf gets ignored, so this is the part we spend the most time on.
