“Can you detect this specific object or condition?”
Custom detection, classification or segmentation models for customer-specific visual requirements.
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.
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.
Custom detection, classification or segmentation models for customer-specific visual requirements.
Tracking, state and temporal event logic that goes beyond simple line-crossing or zone rules.
Computer vision plus multimodal/VLM reasoning for richer event validation and video understanding.
RTSP ingestion, hardware-accelerated decoding, GPU/edge inference and production-grade multi-camera pipelines.
We do not require customers to replace their complete camera infrastructure. Gstream engineering is designed to integrate into existing systems wherever technically practical.
Feasibility is always subject to image quality, camera position and data availability. We assess each requirement before committing to a build.
Detect customer-specific objects that are not part of generic pretrained classes.
Combine zones, direction, duration, tracking and context.
Track object state over time rather than relying on a single frame.
Detect operational states, interactions or process violations where technically appropriate.
Vehicles, trailers, loading zones, dwell times and movement events.
Associate activity across multiple camera streams where camera geometry allows.
Identify conditions that differ from expected appearance or process state.
Use secondary AI/VLM reasoning to reduce unnecessary alerts.
Fuse thermal measurements and visible imagery for specialist monitoring applications.
Recognition and downstream business logic where standard systems are insufficient.
Gstream can work behind the integrator rather than competing for the end customer.
White-label availableYou remain the commercial and operational relationship.
Share the use case and representative footage or data.
We assess feasibility, architecture, data requirements and likely constraints.
Models, inference, tracking, business logic, APIs and deployment.
White-label or engineering-partner engagement depending on the project.
Determine whether the customer's requirement is technically viable before committing to a full build.
Typical engagements start from approximately EUR 2,000–5,000 depending on scope.
Build the production AI capability.
Typical custom production projects start around EUR 10,000+. Scope varies per project.
Maintain and improve deployed systems.
Agreed per deployment and support level.
Built around the customer's actual requirement.
Inference, observability, deployment and maintainability are part of the system.
Optimise workloads for constrained devices and multi-stream GPU systems.
Video ingestion, inference, tracking, event engine, API and operational output.
Build around the appropriate camera, compute and software environment.
Readable architecture, Dockerised services, APIs and documentation where required.
Computer-vision workflow integrated into an operational production process.
Architecture for continuous RTSP ingestion, GPU inference and event generation.
Model deployment and performance optimisation for constrained or on-premise hardware.
Image and video understanding combining conventional CV and modern multimodal models.
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.
Send a short description and, where possible, representative footage. We can quickly establish whether the requirement is worth pursuing technically.
Discuss the requirement