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Custom Detection

TL;DR: Custom Detection is an AI feature that identifies objects, behaviors, or scenarios defined specifically by the user instead of relying only on built-in analytics.

What is Custom Detection?

Custom Detection allows organizations to train AI models to recognize unique items, actions, or patterns that standard analytics do not cover. Using sample images or videos, the system learns what the user wants to detect, such as specific equipment, uniforms, vehicles, or behaviors. This gives security teams more control and enables highly targeted alerts based on their environment and requirements.

Why Custom Detection Matters in Security

  • Identifies objects or behaviors unique to a facility
  • Enhances accuracy beyond default AI detection options
  • Reduces false alerts by focusing on relevant scenarios
  • Supports industry-specific use cases
  • Enables continuous improvement as models learn from new data

Common Use Cases

  • Detecting specific vehicles or license plate types
  • Identifying custom uniforms or restricted-area activity
  • Monitoring specialized equipment or tools
  • Recognizing operational violations or unsafe behavior
  • Tracking organization-specific assets or workflows

Conclusion

Custom Detection gives organizations the flexibility to train AI models for their exact needs. By recognizing unique objects or scenarios, it improves precision, reduces false positives, and creates a more tailored, effective security system.