Person Detection

We provide advanced detection technology to detect people in live and recorded images/videos accurately.

Person detection solutions

Enhance security and efficiency with human recognition. Our advanced system delivers precise, real-time detection for diverse applications.

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Human detection features

Face detection enables real-time identification, secure access, and crowd analysis for enhanced security.

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Real Time

Detects humans instantly in live video streams or static images accurately.

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Accuracy

Identifies people with high precision, minimizing errors and false positives.

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Crowd

Analyzes large groups of people for behavior patterns or security monitoring.

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Pose

Recognizes body posture, gestures, and movements for interaction or analysis.

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Tracking

Monitors human movement across video frames to ensure consistency.

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Low-light

Detects humans in low-light environments or challenging lighting conditions.

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Motion

Detects human movement across various environments for surveillance and analysis.

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Distance

Measures and calculates the distance between detected humans in frames.

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Clustering

Groups people based on proximity for crowd density and behavior analysis.

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Adaptive solutions

Integrate human detection on-site, in the cloud, or via APIs, your choice, our adaptability.

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Local Installation

Deploys software directly on local hardware for greater control and security.

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Cloud Based Solution

Utilizes remote servers for scalable, accessible software deployment and data storage.

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Integrated Service

Combines multiple functionalities into a unified system for efficiency and ease.

Select your human detection model

  • Select Deployment Model
  • Recognize Challenge
  • Establish Goals
  • Determine Solution
  • Collect Data
  • Deploy & Test
  • Iterate Solution

Frequently asked questions

Human detection algorithms analyze images and video frames and take into account features such as body shape, movement, and patterns to identify human figures. Methods usually involve applying machine learning models, particularly the use of convolutional neural networks (CNNs), to categorize and locate humans within the scene.

The Cubix-human detection facility improves surveillance and security as well as user-friendliness with precise real-time detection and tracking of individuals. It also includes access control, crowd monitoring, safety applications, or personalized user experience, to name a few.

Cubix will develop human detection software through the deployment of advanced computer vision techniques and machine learning models. In this way, deep learning networks will be trained on large datasets to recognize and track people with applicable precision under different environments and lighting conditions. The software will be optimized for performance and integrated into real-time detection and analytics systems.