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Computer vision development · Retail, events and buildings

AI Video Analytics Development

Make your camera footage useful to the people running your business. Digittrix develops custom video analytics for people counting, attendance, store activity and building operations. Connect camera events to clear dashboards, alerts and the systems your teams already use.

Custom software

Built around your workflow

Connected systems

Integrated with your operation

Pilot to rollout

Tested with your team

The service, explained

What is AI video analytics software?

AI video analytics software analyses live or recorded footage to detect defined people, objects and events. We connect those detections to counting rules, dashboards and business workflows, so your team can review the results and take the next step.

What we build

Custom AI video analytics capabilities

Choose the features your team needs. We agree the scope, system connections and success criteria before development.

People and object tracking

Detect agreed people or object types within each camera view. Define zones and crossing lines, then test how obstructions affect tracking.

Counts and occupancy

Turn directional entries and exits into useful counts. Show coverage, reset rules and missing data alongside occupancy estimates.

Attendance workflows

Connect camera capture to enrolled records, schedules and staff review. Keep individual attendance separate from anonymous people counting.

Live dashboards and alerts

View updates by camera, zone or location. Show timestamps and connection status, and send agreed alerts to the people who need them.

Business-system connections

Connect reviewed results to supported HRMS, ERP, CRM, event or property systems. Handle missed updates and retries consistently.

Reports across locations

Compare activity over time, export reports and manage access by role. Keep estimates distinguishable from confirmed business records.

How the software works

From camera footage to an operational update

  1. 01

    Connect

    Review footage access, camera coverage and network conditions.

  2. 02

    Interpret

    Configure detection, zones and the event rules for your use case.

  3. 03

    Review

    Surface counts, exceptions and updates in an operational dashboard.

  4. 04

    Act

    Send approved information to the responsible team or connected system.

Connected operations — illustrative workflow
Illustrative workflow. We adapt the final design to your project.

Connect the complete workflow

How we connect your existing systems

We check access, compatibility and data ownership early. Each connection needs clear rules for permissions, failed requests and recovery.

Integration planning: AI Video Analytics
ConnectionWhat we connectWhat we check first
Camera inputsCompatible cameras, recorders and video streamsStream access, image quality and camera placement
Processing environmentOn-site, cloud or hybrid processingNetwork capacity, response time and storage requirements
Business workflowDashboards, alerts and operational systemsAPI access, record ownership and review responsibilities

Test before you roll out

How do we validate a video analytics pilot?

We agree measurable targets with your team and test representative inputs, including the difficult cases.

01

Detection quality

Compare results with labelled footage from typical and difficult conditions; record missed events and false detections.

02

Update timing

Measure capture-to-dashboard delay and check timestamps, stale feeds and reconnection behaviour.

03

Operational workflow

Test alert routing, exception review and integration recovery before expanding camera or location coverage.

Scope, cost and delivery

Plan your custom video analytics project

Start with one location and a clear operational question. We assess the footage, test a pilot and agree the development milestones with your team.

What affects development cost?

Cameras and scenes
Camera count, coverage, lighting and crowd density affect the build.
Analytics and dashboards
Detection tasks, identity matching, reports and review tools shape scope.
Deployment and support
Processing hardware, hosting, storage and integrations add operating costs.

We provide a project-specific estimate and milestones after discovery. Your proposal separates development from ongoing operating costs.

Get a project estimate

Bring these details to the first discussion

  • The question you want each camera view to answer
  • Camera models, sample footage and available stream access
  • Locations, expected activity and operating conditions
  • Dashboard users, integrations and alert responsibilities

Know what happens at handover

We agree source-code and licence terms, deployment access, documentation, team training and support responsibilities in your proposal.

  1. 01

    Discover

    Map the workflow, inputs and system connections.

  2. 02

    Pilot

    Test the core task and agree acceptance targets.

  3. 03

    Develop

    Build the application, integrations and admin tools.

  4. 04

    Launch

    Validate, deploy, train your team and start agreed support.

Your development partner

Meet the team behind your software.

Digittrix Infotech Private Limited builds business software from Mohali, India. Explore our team, published work and client feedback as you choose your development partner.

The Digittrix team at the Mohali office
Our team at the Digittrix office in Mohali.
Related retail experience

IKEA customer traffic management

Our published account describes movement inputs connected to an internal app and a web dashboard, with traffic views and historical reports.

Read the IKEA project account ↗
Related attendance experience

IIT Mandi attendance management

Our published account describes attendance hardware connected to a central software workflow for monitoring records and reviewing exceptions.

Read the IIT Mandi project account ↗

These accounts describe the delivered projects. We assess the camera and AI requirements for your project separately.

Answers before you build

AI video analytics development FAQs

Can you use our existing CCTV cameras?

We first check camera and recorder access, supported streams such as RTSP, image quality and placement. The pilot confirms which analytics your current setup can support and whether you need additional coverage or processing hardware.

Do you supply cameras or develop the software?

Digittrix focuses on custom software and integration. We identify camera and hardware requirements during discovery and agree who will supply and install any equipment.

Can the dashboard update in real time?

We design for an agreed update interval and test it with your streams, network and processing setup. Timestamps and connection status help operators recognise delayed or missing information.

Can the system run on-site or in the cloud?

We assess on-site, cloud and hybrid options against your footage access, network, processing and storage needs. We choose the architecture with you before planning the rollout.

How much does AI video analytics development cost?

Camera count, scene complexity, detection tasks, dashboards and integrations determine the estimate. We separate development from hardware, processing, storage and support costs in the proposal.

How do you check accuracy?

We compare results with labelled footage from representative conditions. We review missed events, false detections and update delays, then agree acceptance targets for each task.

Let’s plan your project

What should your camera data help your team do?

Tell us about your locations, camera setup and current systems. We will help you define a practical development plan.

Discuss Your Video Analytics Project

Service information updated .