EN caret
May 30, 2023

Monitoring in Logistics and Manufacturing Enterprises vs. AI-based Monitoring: Enhancing Real-time Safety and Efficiency

Monitoring in Logistics and Manufacturing Enterprises vs. AI-based Monitoring: Enhancing Real-time Safety and Efficiency

The Role of AI Image Analysis in Monitoring Logistics and Manufacturing Enterprises

In today's dynamic business environment, logistics and manufacturing enterprises are increasingly adopting modern technologies such as artificial intelligence (AI) to monitor their operations in real-time.


Here is a table comparing standard monitoring with monitoring that incorporates an AI image analysis system:


AspectStandard MonitoringMonitoring with AI Image Analysis System
Employee SafetyLimited to visual observation by employees or CCTV camerasDetection of hazardous situations such as falls, accidents, presence of unauthorized individuals
Performance OptimizationNo data analysis capabilitiesAnalysis of task duration, identification of delays and downtime
Compliance with OHS RegulationsPrimarily reliant on inspections and employee observationAutomatic detection of behaviors non-compliant with OHS regulations
Prevention of AbusesLimited effectiveness in detecting abuses and suspicious behaviorsIdentification of suspicious behaviors, unauthorized item handling, non-compliance with procedures
Operational EfficiencyNo data analysis regarding efficiencyAnalysis of employee data, identification of areas for improvement, resource allocation optimization
Documentation and ReportingManual documentation and reportingAutomatic recording of presence, activity, and tasks performed


Unlike standard monitoring methods, which often rely on human vigilance, AI enables automatic image analysis and real-time alerts for non-compliance with safety and hygiene regulations (such as occupational health and safety - OHS and HACCP). Below are the differences between standard monitoring and the use of AI image analysis in logistics and manufacturing enterprises:

1. Employee Safety

Standard monitoring in logistics and manufacturing enterprises mainly involves visual observation by employees or CCTV cameras. However, utilizing AI systems like CosmoEye AI allows for the detection of hazardous situations in real-time. Such systems can recognize falls, accidents, and the presence of unauthorized individuals in specific zones. This enables swift response and assistance when needed, thereby improving employee safety.

2. Performance Optimization

Traditional monitoring is often limited to visual observation without the ability to analyze data. On the other hand, real-time AI image analysis systems, such as CosmoEye AI, can monitor the duration of specific tasks and identify potential delays or interruptions in work. This empowers the enterprise to take appropriate actions to optimize operational efficiency.

3. Compliance with Occupational Health and Safety (OHS) Regulations

Standard monitoring relies on inspections and employee observations to ensure compliance with OHS regulations. By utilizing AI image analysis systems like CosmoEye AI, companies can automatically identify behaviors that do not adhere to OHS regulations. The system can detect improper tool usage, incorrect equipment handling, or the absence of required protective gear. This helps prevent accidents and promotes OHS awareness among employees.

4. Prevention of Abuses

Traditional monitoring methods may not be effective in detecting abuses or suspicious behaviors in logistics and manufacturing enterprises. AI image analysis systems can identify suspicious behaviors such as unauthorized item handling, improper resource utilization, or non-compliance with operational procedures. This allows for effective prevention of financial losses and the maintenance of an honest work environment.

5. Operational Efficiency

AI systems like CosmoEye AI can analyze employee work data, identify areas where excessive time is spent or unproductive behaviors are observed, and provide insights for process improvements, resource allocation optimization, and employee training. This contributes to enhanced operational efficiency.

6. Documentation and Reporting

Traditional monitoring often relies on manual documentation and reporting. AI systems, such as CosmoEye AI, can automatically record employee presence, activity, and performed tasks. This simplifies timekeeping, progress reporting, and performance evaluation, leading to more effective management practices.


Integrating AI image analysis into monitoring practices in logistics and manufacturing enterprises, as demonstrated by CosmoEye AI, offers numerous benefits. Improved employee safety, performance optimization, compliance with OHS regulations, prevention of abuses, operational efficiency, and streamlined documentation and reporting are just a few advantages gained from leveraging this advanced technology in monitoring processes.

Join our newsletter

Stay up to date with the latest news from Cosmoeye.
An error occurred while processing the form. Please try again.
This address is already in our database.
Thank you for subscribing!
CosmoEye LLC based in Lublin announces that it has received on 11.05.2022 through Arkley Brinc limited liability company ASI S.K.A. under the Program PFR Starter Closed Investment Fund public aid from the European Funds in the amount of 2.000. 000.00 (two million PLN) for the implementation of the project on the development and commercialization of a streaming B2B system for warehouse management and enterprise resource planning, using integrated cameras (hardware) and artificial intelligence tool for real-time image analysis according to the management plan.

This website uses cookies to provide services in accordance with the Privacy Policy. You can specify the conditions for storage or access to cookies in your browser.

Download presentation Download