A quick Google search or asking AI tools about the money companies and organizations can save by investing in personal protective equipment detection technology yields the answer: hundreds of thousands/millions of dollars (depending on organization size).
This is because workplace injuries due to neglecting personal protective equipment in the United States alone reach billions of dollars annually. However, experienced managers and officials with forward-thinking vision do not invest based on flashy marketing words; they search for a deep understanding of personal protective equipment detection technology. And they can find the answer through the next lines.
Understanding Personal Protective Equipment Detection Technology
Personal protective equipment detection platforms, powered by artificial intelligence and based on server-based solutions, provide organizations with workplace safety and a long-term investment that saves much more than it costs.
The challenge faced by major organizations around the world (particularly those working in high-risk fields such as construction, energy, oil and gas) lies in protecting workers and maintaining production flow without accidents or obstacles. This dream of smooth production lines or work days can be easily destroyed when one of the workers/employees decides that hard hats are not needed or that safety procedures are “a bit too strict.” When these simple changes pass under the eyes of supervisors and security teams, they can cause serious problems. Here specifically comes the role of personal protective equipment detection systems, which do not let these changes pass by, as they provide AI-powered monitoring to identify violations immediately.
Personal Protective Equipment Detection Market Size
Personal protective equipment detection technology is no longer exclusively for giant companies, as it has become increasingly popular due to the awareness of senior officials and executive managers in all companies and sectors of its importance. This awareness is translated into market numbers, where analysts expect the personal protective equipment detection sector to expand from $70.56 billion in 2024 to $112.91 billion by 2030 (Research and Markets, 2025).
AvidBeam Technologies and Server-Based Personal Protective Equipment Detection Solutions
When a group of Intel’s most prominent former minds gathered and studied the market deeply, they understood the importance of personal protective equipment detection technology and how it could change the world. From here, AvidBeam Technologies was born, which provides server-based video analytics solutions from which the personal protective equipment detection service branches.
The company’s expertise extends to include computer vision, deep learning, visualization, and neural networks. This expertise translates into AI-powered and server-based video analysis platforms such as AvidGuard.
What Distinguishes the AvidGuard Platform?
Without many introductions, these are the features of AvidGuard, the main personal protective equipment detection solution from AvidBeam:
- Multi-location monitoring for more than one place simultaneously to ensure coverage of all areas of the organization/entity, and to ensure the use of protective equipment and compliance with standards for wearing them correctly.
- AvidGuard’s computer vision algorithms distinguish between different types of equipment and colors, and adapt to the requirements of different industrial environments.
- When violations occur (an employee removes a helmet), AvidGuard launches alerts through control panels in control rooms.
AvidGuard’s approach is not limited to detecting personal protective equipment only, as it is based on high-level technology and a conscious study of market needs. AvidBeam engineers know the other needs of companies and organizations, which are:
- AvidGuard solution can be used for access control where every organization/factory/company has high-risk places or places allowed for some but not others. Here, the system grants/denies access permissions.
- AvidGuard solution is capable of detecting smoke and fire through AI-powered video analytics and identifying combustion signatures through visual pattern analysis. When the system confirms a problem (the beginning of a spark or the least amount of smoke emitted), it immediately launches early warning systems.
- AvidGuard solution relies on behavioral analysis through which it can discover anomalies and distinguish unusual activities that may indicate safety concerns (it studies usual patterns and understands them, after which it becomes able to understand any change that predicts a problem).
AvidGuard Solution: Technical Architecture Details
AvidGuard provides different companies and organizations with reliable performance while maintaining scalability and expansion capability. It is a solution that integrates with organizations’ existing infrastructure (usually no need to replace existing surveillance cameras). These are the technical requirements that AvidGuard works with:
The system supports cameras from 2 megapixels up to 4K resolution while operating on standard hardware configurations:
- 2GB memory minimum per camera
- CPU processing power 2.4GHz
- GPU support for different card types
- OnVIF compliance for camera compatibility
The system operates across different lighting conditions and camera angles, ensuring operation throughout day and night cycles.
Deployment Options for the AvidGuard System
AvidGuard integrates with leading Video Management Systems, including Milestone and Genetec. OnVIF compliance ensures compatibility with camera manufacturers and existing security infrastructure.
Organizations can deploy AvidGuard through multiple configurations:
- Internal installations for complete data control
- Private cloud deployment for enhanced expansion
- Public cloud configurations for cost-effective implementation
- Hybrid architectures for optimal flexibility
The AvidGuard system supports failover configurations and N+1 redundancy, ensuring operation even during equipment maintenance. At the same time, distributed processing capabilities maintain performance consistency regardless of deployment size.
For more info about AvidBeam’s server-based video analytics solutions, contact our specialists at info@avidbeam.com
