custom AI
Models and rules adjusted to specific use cases.
When standard rules do not cover a specific operation, we evaluate whether to train or adjust AI to detect objects, processes, conditions, or behaviors specific to your company.
Quick answer
When should custom AI be used in video surveillance?
Custom AI is useful when an operation needs to detect objects, processes, uniforms, behaviors, or visual conditions that standard rules do not solve. Feasibility is first validated with real examples, suitable cameras, and clear success criteria.
Specific use cases
Detects signals specific to an industry, line, site, process, product, or critical asset, supported by industry-specific operations.
Pre-validation
Before training or tuning, images, angles, lighting, variations, and available data are reviewed.
Controlled test
Accuracy, false positives, visual conditions, and operational value are measured before scaling.
Gradual deployment
The solution is activated in phases and adjusted using real operational events, supported by video analytics when applicable.
When it applies
When your operation has unique visual signals.
Not every case requires custom AI. First, we review whether a standard rule solves the problem.
Specific objects
Specific equipment, products, tools, or assets.
Uniforms or PPE
Visual validation of operation-specific elements when viable.
Internal processes
Specific sequences or actions from a line, branch, or operation.
Difficult environments
Special visual conditions that require rule adjustment.
Specific behaviors
Events that do not fit standard detections.
Hybrid rules
Combines visual detection, schedule, zone, and severity to trigger proactive alerts.
Process
First we validate feasibility; then we train or adjust.
Use case
We define which event must be detected and which decision it should trigger.
Real data
We review images, videos, angles, lighting, and variations.
Controlled test
We validate accuracy, false positives, and operating conditions.
Gradual deployment
We activate in phases and adjust with real events from a centralized management.
Frequently asked questions
Before requesting custom AI.
Do I always need custom AI?
No. If a standard rule solves the case, it is better to use it first.
What is needed to train or adjust?
Real visual examples, suitable cameras, clear event definition, and success criteria.
How long does it take?
It depends on complexity, available data, and required testing. It is defined after evaluating the case.
Evaluation
Tell us what you need to detect.
If standard AI is enough, we will tell you. If adjustment is required, we define scope and feasibility.