Example of multi-camera area security analysis application solution

Program overview

The multi-camera regional security analysis application example is a public industry application example in the direction of multi-camera intelligent analysis. Multi-channel video analysis for factories, parks and operating areas, presenting camera access, spatial calibration, target detection, regional rules and event alarm solutions. This page is geared towards project evaluation and solution matching. It does not disclose customer names, production line scales, business data or unconfirmed operating indicators. It focuses on what similar computer vision projects need to be evaluated, how to organize the technical route, how to confirm the delivery content, and what information should be prepared for early communication.

Project background

Multi-camera intelligent analysis usually covers workshops, warehouses, construction sites, campuses or public areas. The project not only had to identify targets in single-channel footage, but also dealt with multi-channel access, time synchronization, area rules, cross-camera correlation and event traces. In project communication, it is first necessary to clarify the detection objects, work station locations, sample differences, rhythm requirements, installation space, existing equipment interfaces and acceptance methods. For scenarios such as regional security, warehousing supervision, workstation behavior analysis, and park inspections, the same visual concept may require different camera angles, light source methods, lens focal lengths, trigger methods, and judgment rules at different sites. Therefore, JIVISION usually starts with sample analysis and imaging verification, rather than directly applying a fixed template.

Customer needs and assessment points

Typical requirements for this type of project include multi-channel video access, regional rule identification, cross-camera correlation, and event tracing. In addition to the identification itself, it is also necessary to evaluate whether the test results need to retain pictures, whether the formula needs to be switched according to product model, whether it needs to be connected with PLC, robot, MES, WMS or host computer system, and whether batch reports need to be generated. The main pain points include: the coverage of a single camera is limited, and event records in multiple areas are scattered; the cost of manual duty is high, and abnormal events are difficult to detect and trace in time; different camera angles, lighting and occlusion conditions will affect the recognition stability. These issues need to be confirmed through sample testing and field condition analysis, and are not suitable to be replaced by unverified universal indicators.

Technical solution

The technical solution revolves around multi-channel access, regional rules, and event alarms, and is implemented in conjunction with the project delivery process. JIVISION will first evaluate the imaging stability, and then design the algorithm link and system interface. Solutions usually include: unified access to multiple cameras, establishment of equipment, area and event rule management; combination of target detection, area intrusion, stay detection, trajectory recording and alarm strategies; provision of visual billboards, event retrieval, alarm push and permission management. In actual projects, traditional image processing, deep learning detection, OCR recognition, instance segmentation, point cloud processing or rule review processes can be combined according to object characteristics, so that the system can both identify targets and explain the basis for judgment.

System architecture

• Multi-camera collection service
• Target detection and tracking
• rules engine
• Event management platform

Implementation process

The implementation process generally includes requirement confirmation, sample collection, imaging experiments, solution verification, algorithm training or rule development, interface definition, on-site deployment, acceptance testing, and operation and maintenance handover. At each stage, sample conditions, parameter versions, judgment rules, and abnormal sample records will be precipitated to facilitate subsequent review. When customers subsequently add product models, defect categories or on-site workstations, they can continue to iterate based on the original data and interfaces.

Delivery content

• Video access service
• Zone rule configuration
• Event Alert Platform
• Log and playback module

Acceptance and iteration

The acceptance indicators should be determined based on customer samples, on-site test results and testing standards confirmed by both parties. Common evaluation dimensions include recognition accuracy, risk of missed detection, false alarm handling, processing speed, stability under illumination changes, data traceability and maintenance convenience. The solution example description on the public page is used to illustrate the technical route and delivery method. The final project indicators should be based on the customer's real samples, deployment environment and contract agreements.

Applicable scenarios

This solution example is suitable for regional security, warehouse supervision, workstation behavior analysis, campus inspection and similar needs. It is also suitable for reference by customers who are evaluating machine vision inspection, computer vision algorithms, edge AI vision, 3D visual measurement, robot vision or visual data training. For projects with uncertain technical routes, sample evaluation, imaging testing, and small-scale solution verification can be conducted first to confirm feasibility before proceeding to system development and on-site deployment.

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