One accountable team
A dedicated project manager, solution architect and delivery squad from discovery to launch. One point of contact, zero hand-offs between agencies.
VMS Camera Solutions
AI Video Analytics That Turns Cameras Into Sensors
Add intelligence to the cameras you already own. We build analytics modules that detect people, vehicles and events in real time and push alerts to the people who need them.
- Software only
- White-label ready
- Cloud or on-premise
- Web + Android + iOS
From passive recording to proactive intelligence
Traditional CCTV is reactive. Cameras record everything, but someone has to watch hours of footage to find what matters, usually after the incident has already happened. Security staff monitoring dozens of screens miss most events simply because human attention cannot scale.
AI video analytics changes that. Computer vision models analyse video in real time to detect people, vehicles, objects and behaviours, then alert the right person within seconds. The same cameras that once only recorded become sensors that count customers, read number plates, enforce safety rules and prevent intrusions.
Tripearlsoft develops AI video analytics modules that run on top of our VMS platform or integrate with your existing video infrastructure. We focus on practical, high-value use cases and tune models for real-world conditions such as Indian traffic, varied lighting and crowded scenes.
Analytics Modules
AI video analytics capabilities
Enable the analytics you need per camera, and pay only for what delivers value.
People Detection & Counting
Count footfall at entrances, measure occupancy and track visitor trends by hour, day and location.
Vehicle Detection & ANPR
Automatic number plate recognition for gates, parking and logistics yards, with allow and block lists.
Intrusion & Perimeter
Virtual tripwires and zones that alert when people or vehicles enter restricted areas, especially after hours.
Loitering Detection
Identify people lingering near ATMs, entrances, warehouses or sensitive zones beyond a set time.
PPE Compliance
Detect missing helmets, safety vests or masks on factory floors and construction sites.
Crowd & Queue Analytics
Monitor crowd density and queue length to deploy staff before customers get frustrated.
Fire & Smoke Detection
Visual early warning of fire or smoke to complement traditional detectors in large spaces.
Heatmaps
Visualise where customers spend time to optimise store layouts, displays and staffing.
Object Left / Removed
Detect unattended objects or missing assets in public areas, warehouses and secure rooms.
How our AI video analytics works
- Connect. Cameras stream to the VMS or an edge device via ONVIF or RTSP.
- Analyse. AI models process frames in real time on edge hardware or in the cloud, depending on latency, bandwidth and privacy needs.
- Apply rules. Detections are matched against your rules: zones, schedules, thresholds and lists.
- Alert. Events trigger notifications with snapshots and clips to mobile, email, SMS or your control room.
- Report. Every event is logged and searchable, and dashboards summarise trends for management.
Edge processing keeps bandwidth low and video on-site, while cloud processing offers flexibility and central management. Many clients use a hybrid of both.
Business value beyond security
AI analytics delivers insights that operations, marketing and safety teams use every day:
- Retail: footfall, conversion rate, dwell time and staffing optimisation.
- Manufacturing: PPE compliance, restricted zone safety and process monitoring.
- Logistics: gate automation with ANPR, dock utilisation and yard security.
- Facilities: occupancy management, energy savings and visitor flow.
- Cities: traffic counting, violation detection and crowd management.
Accuracy in real-world conditions
Analytics demos often look impressive in perfect conditions and disappoint in the field. We approach accuracy pragmatically:
- Site surveys and camera placement guidance for each use case
- Model selection and tuning for lighting, angles and local conditions
- Configurable confidence thresholds to balance alerts and false positives
- Pilot deployments with measured accuracy before full rollout
- Continuous improvement from feedback on missed and false alerts
Responsible and privacy-aware AI
We design analytics with privacy in mind. Privacy masks can exclude sensitive areas, analytics can process metadata without storing personal imagery where appropriate, and access to footage is strictly controlled and audited. We encourage clients to display appropriate signage and follow applicable data protection laws in their jurisdiction.
Software only
We provide analytics software and integration. Cameras and edge hardware are sourced from your preferred vendors, with our guidance on specifications.
Starting with the right use cases
The most successful AI video analytics deployments start small and specific. Rather than switching on every possible detection across every camera, which tends to generate alert fatigue, we help you identify two or three high-value use cases with clear owners and measurable outcomes.
Examples include ANPR at a warehouse gate to automate vehicle entry logs, intrusion detection on a perimeter after working hours, PPE detection in a production area with safety incidents, or people counting at store entrances to calculate conversion rates. Each has a defined camera, a defined rule and a defined person who acts on the alert.
After a pilot proves accuracy and value, the deployment expands to more cameras, sites and use cases. This disciplined approach builds trust in the technology and ensures the investment delivers results rather than notifications nobody reads.
Typical analytics outcomes
- Automated gate logs and faster vehicle entry with ANPR
- Fewer false alarms through AI-verified intrusion alerts
- Improved safety compliance with PPE monitoring
- Better staffing decisions from footfall and queue data
- Optimised store layouts from heatmaps
- Faster investigations with object-based search
Each outcome is measured during the pilot so you can make an informed decision before scaling.
FAQ
AI video analytics questions
Usually, yes. Most modern IP cameras with adequate resolution and placement can be used. Some use cases such as ANPR need cameras positioned and configured specifically.
Both options are available. Edge processing keeps video on-site and reduces bandwidth, while cloud processing simplifies management. Hybrid deployments combine the two.
Accuracy depends on camera placement, lighting and use case. We run pilots to measure accuracy at your site and tune thresholds before full rollout.
Yes. Alerts can be sent to mobile apps, email, SMS, WhatsApp and integrated with control room or alarm systems.
AI modules are available as add-ons within our VMS platform and can be enabled per camera based on your needs.
Why Tripearlsoft
The engineering partner that owns the outcome, not just the code
Growing businesses choose Tripearlsoft because we combine enterprise-grade engineering discipline with the speed, transparency and personal accountability of a focused senior team.
Fixed scope, transparent pricing
Every engagement starts with a written scope, milestone plan and fixed estimate. No hidden costs and no surprise invoices.
You own 100% of the IP
Source code, designs and documentation are transferred to you. We sign an NDA before the first conversation if you need one.
Security by design
OWASP-aligned development, peer code reviews, role-based access and encrypted data handling on every project we ship.
Fortnightly demos
Agile sprints with a working demo every two weeks, so you see real progress, give feedback early and never wait months to find out.
Support that continues
SLA-backed maintenance, monitoring and growth marketing after launch. We stay with the product as your business scales.
How We Deliver
A proven five-stage delivery framework
Predictable timelines and transparent communication at every stage, from the first workshop to long-term growth.
- 01
Discover
Stakeholder workshops, requirement mapping, technical feasibility and a fixed-scope proposal.
Week 1–2 - 02
Design
Information architecture, UX flows, UI design and clickable prototypes you can test.
Week 2–4 - 03
Build
Agile sprints, peer code reviews, automated testing and a demo every two weeks.
Week 4–12 - 04
Launch
QA, security checks, performance tuning, deployment and team training.
Go-live - 05
Scale
SLA support, analytics, SEO and continuous improvement as you grow.
Ongoing
Client Voices
Real clients. Real results.
“We redesigned our website twice within six months, and the difference between the first firm and Tripearlsoft was significant. Tripearlsoft was highly professional, original, meticulous and an excellent communicator.”
“Tripearlsoft's digital marketing strategies have been pivotal in positioning our hospital as an industry leader. Their expertise in marketing and email campaigns has driven substantial growth in our patient base.”
“We are extremely satisfied with our new mobile app in every aspect. We highly recommend Tripearlsoft to anyone looking to create a new mobile application.”
“Tripearlsoft's website development services have been instrumental in delivering an exceptional platform. Their attention to detail and intuitive UX/UI design have greatly enhanced the material handling equipment experience for our users.”
“Tripearlsoft digital marketing strategies have significantly boosted our online presence in the competitive stitching industry. Their expertise in content marketing and PPC campaigns has resulted in higher bookings and revenue.”
“Tripearlsoft's website design and development services have streamlined our accounting services platform. Their intuitive UI/UX design has made navigation seamless for our clients.”
Ready to launch your own branded platform?
Request a live demo of our white-label platform and get a tailored proposal for your market within 48 hours.