Home / Case Studies / AI Visual Personnel Testing and Safety Patrol Platform
Anonymized review of a real project

Computer Visualization

AI Vision Personnel Safety Inspection Platform

Demonstrating how the AVIS system connects cameras or uploads images, completing area personnel testing, counting, on-board status, security equipment identification, incident review and single loops, and verifying the misreporting with a sample from the site.

Target testingMulti-target trackingEdge CountVideo analysisWorksheet Integration
Anonymized review of a real project

A delivered project, presented with client information anonymized

This page includes only project facts that can be disclosed. Client identity, contract value, production data and sensitive configuration are omitted. We do not publish performance, cost or benefit figures unless they can be supported by reliable project records.

We'll see about this.

Who's using it, what's the system doing, what's the value?

Main users

Quality, security, on-site inspection, overhaul of duty and management

Actual use

Identify areas, targets, events, camera conditions, risk levels and manual liability; take field samples of daytime night, shelter, congestion, empty spaces and abnormalities; compare target detection, tracking, regional rules and deployment routes on edges or clouds. Key results and unusual tasks are confirmed by the counterpart operational personnel.

Core functions

Video and image access

Access to the unified portal for dispersed documents, messages or business events and record sources and processing status.

Target testing of personnel

Supports operational personnel in completing operations at the personnel target detection stage, in view of the state of processing and manual validation of abnormal results.

Number of persons and regional statistics

Support operations personnel to complete operations at the “number and region statistics” stage, to view the status of processing and to manually confirm abnormal results.

Security equipment recognition

Identifys the key fields and types in the input content, and the low faith or missing content enters manual confirmation.

Event Rules Center

The differences are recorded, reconciled with the rules of the operation and the reasons for the anomalies and basis of calculation are presented to the operator.

Manual review

(c) To entrust high-risk, low-confidence and exceptional tasks to persons with competence and to maintain the decision-making process in its entirety.

Value to operations

The following are the value directions that can be prioritized for the same projects and do not represent fixed proceeds; formal projects should first establish the enterprise ' s own business baseline.

Ongoing support inspections in priority areas

Evidence of events and disposal process traceable

Manual inspection has focused on high-risk missions.

The quality of identification can be measured by the real environment.

01 / Status of operations

What are the conditions under which a business usually encounters this problem?

This page is an example of a similar project scheme, without using visual recognition as the sole basis for determining liability or punishing the person for an accident.

Camera angles, shielding, light, weather and human density will significantly affect recognition

The presentation is working well, not to say that real scenes and night scenes are available.

Cross-scenes, short-time access and border hovering by the same person can easily lead to repeat incidents

Images of staff and visitors, for which the purpose, scope and duration of the collection must be clear

Misreporting can pose a risk of production and labour relations if it directly triggers a stoppage or punishment

02 / Implementation methodology

How to break down such projects

The first phase is defined by real business assignments that identify processes, data, system dependence and unusual boundaries. The following is the sequence of implementation adopted or recommended in this case.

01

Identification of areas, targets, events, camera conditions, risk levels and manual liability

02

Field samples of day and night, shelter, congestion, empty spaces and abnormal behaviour collected

03

Comparison of target detection, tracking, regional rules and deployment routes at the edge or cloud end

04

Event preservation key frames, time, camera and rule-based basis for personnel review

05

Create inspection, safety or facility manifests and follow up disposal results after confirmation

06

Update samples and thresholds continuously with misreporting and environmental change, and no automated online training

I don't need to write a complete request first.

You want to judge if this is a good idea for your project?

Add a project consultant ' s micro-letter to indicate current problems, systems in place, timing of expected go-live and budget levels, and we will help to determine the scope of the first period and the main risks.

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03 / Project boundary

Who's responsible for what? What conditions must be confirmed first?

Responsibilities of the parties

Borders with field, security, privacy and IT teams to confirm use, incidents and responsibilities

Development of field assessment collections of different environments, density, shielding and abnormal conditions

Development of video access, identification, rules, review, prosecution and worksheet capabilities

Performance, break, misreporting, clearance, storage and failure back testing completed

Binding and boundary

Visual recognition is used to assist with detection and is not a substitute for statutory security checks and certified judgement

Staff monitoring must be necessary, transparent and minimal and not extend to irrelevant purposes

Camera resolution, location, stream, field changes and computational effect

High-risk connections must be subject to rules and manual confirmation, and not directly controlled by models

04 / Scope of the system

Capability module for possible inclusion in the first phase

The name of the module is not the final quote range. The formal entry requires item-by-item confirmation of the user, input output, permission, interface, abnormal process and entry or not.

Video and image accessTarget testing of personnelNumber of persons and regional statisticsSecurity equipment recognitionEvent Rules CenterManual review- I'm not gonna let you go.Model quality board
05 / Delivery and acceptance

What should be left when delivery is complete?

DeliveryThe scene camera and the privacy boundary description
DeliveryOn-site de-sensitive image video assessment
DeliveryVisual recognition application and management end-source
DeliveryModel rule thresholds and regional configuration
DeliveryCamera platform and worksheet interface
DeliveryAccurate performance and stability reports
DeliveryDeployment retreat and model operation manual

Engineering evidence for review

The page does not claim to have a customer ' s project material; the following verifiable records should be established for formal implementation, according to the scope of the contract.

Engineering evidenceRegion, event, target, risk, camera and accountability matrix
Engineering evidenceField assessments of day and night to block crowded spaces and border conditions
Engineering evidenceAccuracy, recall rate, misreporting and scene quality reports
Engineering evidenceCamera break, image anomaly, model non-usable and downgrade test records
Engineering evidenceIncidents, key frames, manual review, alarms and worksheet logs
Engineering evidenceModel version, threshold adjustment, environmental change and quality regression material

Recommended acceptance and inspection baseline

Engagement of priority incident identification on site assessment at the confirmed baseline

Each event contains time, camera, area, key frame and rule information

Increased level of confidence, visual anomaly and high-risk incidents entering manual review

Different players can only view authorized cameras, events and export content

Implication, inadequate computing and failure to use models can be reported and downgraded as per the rules

Enterprise personnel were able to adjust regional rules, conduct assessments and take over deployed assets

Your judgment is based on your actual situation.

The case is only a way to get the project back to your business.

Tell us what is appropriate, what is done in the first phase and what risks are involved in identifying current processes, systems and problems that are being addressed.

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