VIDEO AI // INTEGRATOR PARTNERS

Custom Video AI for Security Integrators.

When your customer's requirement goes beyond standard camera or VMS analytics, Gstream builds the custom AI layer.

Custom detection, event logic, video understanding and edge/GPU inference — engineered around your existing camera, VMS and security infrastructure.

You keep the customer relationship. Gstream provides the AI engineering.

  • CUSTOM DETECTION
  • TEMPORAL EVENTS
  • VIDEO AI
  • EDGE INFERENCE
  • VLM
  • RTSP
  • ON-PREMISE
01 // THE GAP

When Standard Video Analytics Isn't Enough

Modern cameras and VMS platforms handle many common analytics well. The problem starts when a customer asks for something specific to their operation, environment or workflow.

Standard analyticsCustom requirementGstream
01 // CUSTOMER ASKS

Can you detect this specific object or condition?

GSTREAM

Custom detection, classification or segmentation models for customer-specific visual requirements.

02 // CUSTOMER ASKS

Can you alert only when this sequence of events happens?

GSTREAM

Tracking, state and temporal event logic that goes beyond simple line-crossing or zone rules.

03 // CUSTOMER ASKS

Can the system understand what happened in this video?

GSTREAM

Computer vision plus multimodal/VLM reasoning for richer event validation and video understanding.

04 // CUSTOMER ASKS

Can this run across 10, 20 or 50 existing cameras?

GSTREAM

RTSP ingestion, hardware-accelerated decoding, GPU/edge inference and production-grade multi-camera pipelines.

02 // AI LAYER

Built Around Your Existing Security Stack

We do not require customers to replace their complete camera infrastructure. Gstream engineering is designed to integrate into existing systems wherever technically practical.

EXISTING IP CAMERASInstalled base, unchanged
RTSP / ONVIF / EXISTING VMSTransport and stream access
GSTREAM AI LAYER
DETECTION
TRACKING
EVENT LOGIC
VLM / VALIDATIONSecondary reasoning on candidate events
ALERTS / REST API / WEBHOOKS / VMS INTEGRATIONDelivered into the systems your operators already use
DEPLOYMENT TARGETS
EDGE DEVICE
NVIDIA GPU
ON-PREMISE SERVER
CLOUD
RTSPONVIFRESTWEBHOOKSPYTORCHTENSORRTCUDADEEPSTREAMDOCKERJETSONNVIDIA GPUFASTAPI
03 // CUSTOM ANALYTICS

The Requirements That Usually Need Custom Engineering

Feasibility is always subject to image quality, camera position and data availability. We assess each requirement before committing to a build.

01

Custom object detection

Detect customer-specific objects that are not part of generic pretrained classes.

02

Complex intrusion logic

Combine zones, direction, duration, tracking and context.

03

Left / removed object events

Track object state over time rather than relying on a single frame.

04

PPE and process compliance

Detect operational states, interactions or process violations where technically appropriate.

05

Vehicle and yard intelligence

Vehicles, trailers, loading zones, dwell times and movement events.

06

Multi-camera tracking

Associate activity across multiple camera streams where camera geometry allows.

07

Visual anomaly detection

Identify conditions that differ from expected appearance or process state.

08

Video event validation

Use secondary AI/VLM reasoning to reduce unnecessary alerts.

09

Thermal + RGB analytics

Fuse thermal measurements and visible imagery for specialist monitoring applications.

10

OCR / ALPR workflows

Recognition and downstream business logic where standard systems are insufficient.

04 // PARTNER MODEL

Your Customer. Your Project. Our AI Engineering.

Gstream can work behind the integrator rather than competing for the end customer.

White-label available
  1. 01

    YOU OWN THE CUSTOMER

    You remain the commercial and operational relationship.

  2. 02

    SEND THE REQUIREMENT

    Share the use case and representative footage or data.

  3. 03

    GSTREAM VALIDATES IT

    We assess feasibility, architecture, data requirements and likely constraints.

  4. 04

    WE BUILD THE AI LAYER

    Models, inference, tracking, business logic, APIs and deployment.

  5. 05

    YOU DELIVER THE SOLUTION

    White-label or engineering-partner engagement depending on the project.

05 // HOW WE ENGAGE

Start Small. Prove It. Then Deploy.

01FEASIBILITY SPRINT

Determine whether the customer's requirement is technically viable before committing to a full build.

INPUTS
  • Customer requirement
  • Sample video / images
  • Camera and environment information
  • Expected trigger and output
OUTPUTS
  • Feasibility assessment
  • Prototype where appropriate
  • Architecture proposal
  • Constraints and risks
  • Production estimate

Typical engagements start from approximately EUR 2,000–5,000 depending on scope.

02IMPLEMENTATION

Build the production AI capability.

INCLUDES WHERE REQUIRED
  • Model development or adaptation
  • Inference service
  • Tracking and event logic
  • APIs
  • Deployment packaging
  • Monitoring hooks
  • Integration support
SCOPE
  • Scoped per requirement
  • Camera count and site conditions drive effort

Typical custom production projects start around EUR 10,000+. Scope varies per project.

03ONGOING ENGINEERING

Maintain and improve deployed systems.

EXAMPLES
  • Model updates
  • Additional camera sites
  • Performance optimisation
  • Alert tuning
  • Infrastructure support
  • New analytics
COMMERCIAL MODEL
  • Retainer
  • Project
  • Engineering support

Agreed per deployment and support level.

06 // ENGINEERING

Not Another Camera Analytics Product

Custom rather than fixed analytics

Built around the customer's actual requirement.

Production-first engineering

Inference, observability, deployment and maintainability are part of the system.

Edge and GPU expertise

Optimise workloads for constrained devices and multi-stream GPU systems.

Full pipeline capability

Video ingestion, inference, tracking, event engine, API and operational output.

Vendor-neutral approach

Build around the appropriate camera, compute and software environment.

Clear handover

Readable architecture, Dockerised services, APIs and documentation where required.

07 // EXPERIENCE

Production Computer Vision, Not Demo-Only AI

PRODUCTION VISUAL QC

Computer-vision workflow integrated into an operational production process.

MULTI-STREAM VIDEO AI

Architecture for continuous RTSP ingestion, GPU inference and event generation.

EDGE INFERENCE

Model deployment and performance optimisation for constrained or on-premise hardware.

MULTIMODAL VISION

Image and video understanding combining conventional CV and modern multimodal models.

Discuss a Video AI Requirement
08 // PARTNERS

Designed for Companies That Already Own the Customer Relationship

If you already provide cameras, security infrastructure or monitoring systems and occasionally encounter a requirement your standard analytics cannot satisfy, that is where Gstream fits.

  • Security Integrators
  • CCTV / Video Integrators
  • VMS Integrators
  • Access-Control Integrators
  • Smart-Camera Vendors
  • Industrial / Infrastructure Monitoring Companies
09 // START HERE

Have a Customer Requirement Your Current Stack Can't Handle?

Send a short description and, where possible, representative footage. We can quickly establish whether the requirement is worth pursuing technically.

Discuss the requirement

Initial technical review only. No obligation to proceed with implementation.