Video Content Recognition

Video Content Recognition (VCR) detects and analyzes diversified objects in videos with all-inclusive algorithms. VCR's accurate segmentation of essential information greatly increases the effectiveness and efficiency of video content recognition.

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Product Advantages
  • Precise Recognition

    Uses high-precision facial recognition and detection utilities to improve surveillance, tracking, and search efforts.

  • High Reliability

    Enough processing power to achieve real-time analysis on video at scale.

  • High Efficiency

    Supports customization and categorization of video qualities with the ability to pick up on figures, art and entertainment personalities, and even clothing styles.

  • Multidimensional Analysis

    Analyzes videos from multiple dimensions, such as sound, action, image, and text, to fully understand the video content so that you can get more complete results.

Application Scenarios
  • Monitoring Management

  • Campus Pedestrian Analysis

  • Action Recognition

  • Video Celebrity Analysis

Monitoring Management

Monitoring Management

Analyzes all videos in shopping malls, campuses, and other venues in real time to extract key events and improve efforts in cashier compliance, intrusion and theft detection, and loitering prevention. Intelligence utilities also help detect abandoned objects in high-security zones and deliver improved capabilities in loss prevention.

Advantages

Personalized Configuration

Uses module-based detection services to perform personalized analysis on camera feeds from locations throughout the field of monitoring.

Real-Time Analysis

Provides real-time video analysis capabilities with high concurrency and low latency, ensuring rapid response and timely de-escalation.

Cost-Effectiveness

Supports edge access and processing, greatly reducing service access costs.

Campus Pedestrian Analysis

Campus Pedestrian Analysis

Analyzes on-campus pedestrian behavior in real time. Identifies and tracks risk-sensitive personnel or those already on blacklists. Collects statistics on pedestrian traffic at key intersections to facilitate management policy formulation.

Advantages

High Precision

Robust algorithms able to dissect video feeds in the complexity and diversity of the campus environment.

High Timeliness

Analyzes thousands of video feeds throughout the campus in real time so security personnel can respond with accelerated timeliness.

Cost-Effectiveness

Supports edge access and processing, greatly reducing service access costs.

Action Recognition

Action Recognition

Recognizes actions in videos with frame analysis, optical flow, and scenario information output capabilities.

Advantages

Multimodal Recognition

Recognizes actions in a more accurate manner based on information such as images, optical flow, and sounds.

Accurate Recognition

Uses the 3D convolutional neural network (CNN) to achieve high levels of recognition accuracy.

Strong Robustness

Provides strong robustness for action recognition in complex video scenarios caused by different weather conditions, camera angles, and other factors.

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Video Celebrity Analysis

Video Celebrity Analysis

Analyzes and recognizes well-known people found in videos, including political figures and TV/movie stars.

Advantages

Easy to Use

Operations are simple. You only need to upload the video to obtain the celebrity analysis results.

Accurate Recognition

Using facial recognition based on deep learning technology, VCR automatically recognizes celebrities such as political figures and TV/movie stars in videos.

Quick and Efficient

VCR supports various video encoding formats and can quickly analyze celebrities in videos, improving user browsing efficiency.

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Functions

  • Face Tagging

    Automatically extracts faces from videos and outputs duplicate facial tags (such as VIP customers) using the data mining algorithm.

  • Pedestrian Traffic Statistics

    Analyzes video streams to collect statistics on pedestrian traffic. Supports functions such as line-through pedestrian traffic, pedestrian count in an area, queue length, and heat map.

  • Tailored Detection

    Identifies security events, including abandoned objects, intrusions, and cashier non-compliance, in specified zones to ensure high precision and low false alarm rates.

Face Tagging

Pedestrian Traffic Statistics

Tailored Detection

  • Vehicle Recognition

    Identifies vehicle models and license plate information, and tracks vehicles. Supports more than 200 vehicle types and over 2000 models.

  • Violent Sorting Identification

    Identifies violent sorting behaviors in videos, including kicking and throwing objects.

Vehicle Recognition

Violent Sorting Identification

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