Project Introduction

Today, as massive volumes of video data have become the primary source of investigative leads, traditional manual review is inefficient, cross‑source retrieval is challenging, and target tracking is slow—making it increasingly difficult to meet real‑world operational demands. The Super Video Investigation Individual‑Agent System centers on “portable deployment, rapid response, intelligent analysis, and closed‑loop management,” offering public security, security, emergency response, and other sectors a video‑based investigation solution that can be deployed in advance, operate independently, and swiftly deliver actionable results.

I. Overview of the Plan

The Super Video Investigation Individual‑Operator System is a video‑based investigative solution designed for frontline operations. Built around the principles of “rapid ingestion, rapid analysis, rapid retrieval, rapid assessment, and rapid output,” it establishes a comprehensive capability chain. The system supports the ingestion of video files and NVR data, and enables target extraction, behavior filtering, similarity search, facial recognition, trajectory analysis, dynamic statistics, and integrated alerting. It helps users swiftly reconstruct event sequences from vast volumes of video, pinpoint key targets, and enhance the efficiency of case investigation and on‑scene response.

Compared with traditional video‑based investigative methods, this solution is better suited to scenarios such as mobile patrols, on‑site surveillance, emergency response, and specialized investigations. It is not a standalone application but rather a comprehensive system that integrates intelligent recognition capabilities, case‑management functions, and on‑site operational efficiency.

 

II. Industry Pain Points

1. Low efficiency in reviewing large volumes of video footage

Following an incident, it is often necessary to retrieve large volumes of surveillance footage. Traditional manual, frame-by-frame playback is time-consuming and involves significant repetitive effort, making it easy to overlook critical targets.

2. Coordinating multiple locations, multiple time periods, and multiple objectives is challenging.

In real-world investigations, targets often move across regions and camera feeds. The lack of a unified search and trajectory‑linking capability results in numerous gaps in investigative leads and prolonged analysis cycles.

3. Target feature selection relies on experience.

Character attire, personal belongings, vehicle appearance, length of stay, activity areas, and other factors often rely on manual recollection and repeated verification, resulting in low efficiency and inconsistent outcomes.

4. The investigation findings lack structured documentation.

After the investigation phase concludes, many cases remain confined to screenshots, notes, and anecdotal insights, making it difficult to establish standardized case files or generate reusable analytical findings.

5. Frontline field operations lack portable smart tools.

Many platforms are better suited for use by back-end analysis centers, but they are not designed for individual‑soldier portability or rapid deployment, making it difficult to meet the frontline operational requirement of “responding, analyzing, and deciding simultaneously.”

 

III. Overall Solution Architecture

This solution adopts a core architecture comprising a “man‑portable terminal + intelligent video analytics platform + multidimensional target retrieval engine + closed‑loop case management,” enabling end‑to‑end integration from video ingestion to analytical output.

Architecture Description

• The frontend supports video file import and NVR video integration.
• The mid-range solution enables video summarization, object extraction, feature recognition, similarity retrieval, path analysis, and statistical assessment.
• The backend completes case archiving, lead tagging, report generation, and alert integration.
• Individual soldier terminals can rapidly conduct on-site inspections and assessments at the front line, enhancing operational efficiency and accelerating information feedback.

 

IV. Core Functional Modules

1. Video Summarization and Cross-Camera Retrieval

The system supports rapid processing of raw video, completing video analysis and object extraction in a short time. It reorganizes significant events from lengthy recordings, enabling users to quickly navigate to key content and substantially reducing the time required for review.

Leveraging cross-camera synchronization and retrieval capabilities, the system can rapidly locate target objects across multiple video feeds, enabling efficient tracking that transitions from “single-point detection” to “multi-point linkage.” This makes it particularly well-suited for expanding investigative leads, reconstructing movement trajectories, and conducting coordinated area‑wide investigations.

Functional value

• Compressed invalid playback time
• Quickly lock onto key targets
• Supports synchronous analysis of multiple video sources.
• Enhance the speed of case investigation and screening.

2. Face Recognition and Appearance Similarity Retrieval

The system supports centralized face extraction and similarity-based filtering in video footage, enabling rapid access to all detected facial data and facilitating targeted screening and comparison based on similarity scores.

Meanwhile, the system features appearance‑based similarity retrieval, enabling similarity analysis of both people and vehicles. Even when a target is not fully captured, it can still perform approximate matching based on attributes such as clothing, posture, and vehicle appearance, thereby enhancing its ability to detect targets in complex scenes.

Functional value

• Quickly screen key personnel
• Supports character similarity retrieval.
• Supports vehicle appearance similarity search.
• Improve the efficiency of recognizing complex scenes.

3. Rapid Multi-Dimensional Query

The system supports composite searches based on multiple criteria, including time, source, category, attributes, color, size, speed, dwell time, area, and trajectory, transforming video analysis from “manual clue‑finding” to “condition‑driven retrieval.”

Retrievable dimensions include

Time range

Supports target retrieval within a specified time range, enhancing the precision of troubleshooting.

Video source

Supports selecting a specific NVR or video file source to narrow the troubleshooting scope.

Target Category

Supports object classification and retrieval for characters, two-wheeled vehicles, motor vehicles, animals, and more.

Character Attributes

Supports filtering targets by attributes such as gender, clothing, hat, backpack, and handheld items.

Color filtering

Supports recognition of multiple color combinations, making it ideal for quickly narrowing down results by clothing or vehicle color.

Size and Speed

Supports setting ranges based on target size and motion speed, enhancing the efficiency of identifying specific targets.

Region and Path

Supports configuring monitoring zones, exclusion zones, and designated paths, making it suitable for checkpoint, passage, and key‑point analysis.

Dwell time

It can identify objects that remain in the scene for longer than a specified threshold, facilitating the detection of abnormally long‑lasting targets.

Functional value

• More refined search criteria
• Higher screening efficiency
• More accurate investigative findings
• Adapted to complex real-world scenarios

4. Dynamic Data Analytics and Intelligent Decision-Making

In addition to target retrieval, the system supports dynamic statistical analysis of video data, enabling users to extend their insights from individual case investigations to trend assessment and situational awareness. The system can generate dynamic key performance indicators based on video analytics results and present pedestrian and vehicle flows, activity trends, and anomaly changes in a visualized, chart‑based format.

This enables the system to not only support criminal investigations but also to be extended to applications such as targeted area management, event security, traffic analysis, and public‑security trend assessment.

Key Features

• Supports dynamic key metric aggregation.
• Supports trend analysis and anomaly detection.
• Supports diverse custom statistical criteria.
• Supports quick customization of chart panels.

 

5. Surveillance and Early Warning with Real-Time Response

The system supports proactive surveillance and early warning based on predefined conditions. When a target appears, abnormal behavior is detected, or specific rules are triggered, the system generates real-time alerts and provides visualized summaries, enabling on-duty personnel to promptly identify risks and take appropriate action.

This capability can be widely applied across various operational scenarios, including perimeter security and surveillance in key areas, early warning for priority targets, identification of abnormal lingering, and response to critical incidents.

Functional value

• Real-time detection of anomalous targets
• Rapid response to potential risks
• Supports intuitive visualization of alert results.
• Enhance proactive prevention and control capabilities

 

V. Core Advantages of the Plan

1. Fast import, more efficient front-end processing

The system supports high-speed video ingestion, enabling rapid video integration and processing to meet the time-critical demands of criminal investigations.

2. Intelligent analysis reduces repetitive manual work.

By leveraging capabilities such as object extraction, attribute recognition, and similarity retrieval, the system takes over a significant portion of manual review and screening tasks, substantially boosting analysis and decision‑making efficiency.

3. Second-level retrieval, supporting large-scale data investigation and troubleshooting.

Faced with large-scale video data, the system continues to deliver efficient retrieval and rapid localization, meeting the demands of complex case investigations.

4. Multi-source collaboration to enhance trajectory reconstruction capabilities

Supports concurrent retrieval across multiple videos and conditions, enabling more efficient linkage of target activity trajectories across regions.

5. Functional closed-loop, covering the entire case lifecycle

From case intake and file creation, target identification and verification, trajectory tracking, and image processing, to command decision‑making and report generation, the system establishes a complete business workflow, thereby eliminating efficiency losses caused by fragmented platforms.

 

VI. Typical Application Scenarios

1. Video-based investigation of public security cases

It is suitable for video‑based clue investigation, target identification, and trajectory reconstruction in scenarios such as criminal investigation, public security, anti‑fraud efforts, and fugitive pursuit.

2. Rapid Response to Emergency Incidents

It is suitable for video retrieval at incident scenes, screening of key targets, tracking of suspects, and supporting on-site situational analysis.

3. Deployment and Early Warning in Key Areas

It is suitable for real-time monitoring and anomaly alerts during critical periods, in key areas, and at major events.

4. Integrated Security and Public Order Prevention and Control

It is suitable for video‑linked management and intelligent screening in scenarios such as industrial parks, transportation hubs, border crossings, and venues.

5. Special Campaigns and Focused Inspections

It is suitable for the rapid ingestion, centralized analysis, and unified command of multi-source video data in large-scale special operations.

 

VII. Typical Workflow

The system is designed around real-world case-handling workflows, enabling users to achieve standardized, closed-loop operations—from receiving leads to filing completed cases.

Workflow

Case intake and file creation

Quickly collect video evidence related to the case and establish a unified case file.

Quick troubleshooting

Quickly narrow the scope and pinpoint suspicious targets by filtering based on criteria such as time, source, and target attributes.

Assessment and Tracking

Track the target’s activity trajectory based on cross-camera retrieval, path analysis, and similarity matching.

Image processing

Key frames are extracted, optimized, and annotated to generate high-value intelligence.

Command Decision-Making

Based on the analysis and assessment results, it assists on-site command and supports subsequent deployment and coordinated response.

Report Generation

Automatically records case proceedings and key evidence, facilitating reporting, archiving, and subsequent post‑mortem analysis.

 

VIII. Hardware Support Platform

To ensure system stability and processing efficiency in frontline operations, the solution can be paired with a high-performance hardware platform, meeting the requirements for video analytics, intelligent analysis, and multi‑task retrieval.

Recommended Hardware Configuration

• CPU: i7-8750
• Memory: 32GB
• Storage: 2TB or larger SSD
• Graphics card: NVIDIA RTX 3070

 

IX. Summary of Customer Value

The Super Video Investigation Individual‑Soldier System is more than just a video‑processing tool; it is an intelligent operational platform designed to support frontline investigative work. It transforms vast volumes of video into readily actionable intelligence, turns complex leads into structured, analyzable data, and equips field personnel with enhanced on‑scene研判 and rapid decision‑making capabilities.

For users, this solution delivers not only improved efficiency but also an upgrade to the investigative paradigm:
From manual review to intelligent screening,
From single-point troubleshooting to multi-source collaboration,
From piecing together fragmented clues to closing the case loop.

 

X. Conclusion

Turn video leads into investigative results more quickly.

If you’re looking for a video‑based investigation solution that combines portable deployment, intelligent analytics, rapid retrieval, and a closed‑loop operational workflow, the Super Video Investigation Individual System delivers more efficient technical support.

 

Contact Us

Beijing Sosike Technology Development Co., Ltd.
Phone: 86-010-63256377 / 63256399
Fax: 86-010-63735880
Official Website: WWW.SETTALL.COM