Introduction: Delivering safety in an unsafe world
Forget the stories about artificial intelligence (AI) stealing jobs; the real story is how it’s saving lives. In the high-stakes world of manufacturing plants and bustling warehouses, AI has stepped up as the ultimate guardian angel. By transforming static, hazard-prone work floors into dynamic, predictive environments, AI isn’t just ensuring product quality, optimizing manufacturing/warehouse operations, and driving greater profitability—it’s ensuring that every worker who punches in finishes their shift safely. Read on to learn how intelligent automation is quietly pulling off a safety revolution behind the factory gates.
The limitations of reactive safety management
Several factors contribute to the increased riskiness of factory work, e.g., lack of proper personal protective equipment (PPE), night shift work, extended hours, and failure to adhere to Standard Operating Processes (SOPs) to name just a few. An additional contributing factor is the size of organizations. Industry analyses indicate that small companies with fewer than 20 employees contribute to an estimated 82% of all occupational injuries due to their lack of dedicated safety resources.
Traditional manufacturing plant safety processes begin with a verbal or written report from a factory worker or manager—assuming it’s a serious enough incident to have actually stopped work and/or injured someone. Information is gathered about the details of the event and then reported up the chain of command using whatever tools/protocols are in place. This is a reactive approach to worker safety. If it’s not an incident but simply a potentially unsafe situation (e.g., missing PPE, workers under a suspended load, etc.), then even these basic steps will likely never take place.
In some organizations, elements of safety reporting are semi-automated, but the process still typically relies on human intervention to work its way through the incident-management process. A large and crucial part of the safety awareness burden falls to employees to self-report and remain involved throughout a potentially time-consuming, after-the-fact investigation process. It’s a process almost guaranteed to suffer from human error, insufficient prioritization, or, more often than not, both.
Supervision, workplace risk assessments, and process/accident monitoring and follow-up are time-consuming tasks for Health, Safety, and Environment (HSE) professionals and even more challenging for line managers who are more focused on their regular jobs. Frequently, data produced by on-site cameras is less than actionable. Playback is retrospective, and it’s common practice for data to be deleted soon after it’s been collected. Even in instances where video is monitored live, it’s unrealistic to expect humans to accurately view all the action from every camera and to identify safety incidents thoroughly and without error. Studies have shown that humans performing the task of watching video feeds struggle to pay attention for more than 20 minutes and engagement falls off rapidly with multiple cameras.
Luckily there now exist technology-driven tools that are far more effective at ensuring safer work environments.
There’s a better way using the power of AI
Contrast this scenario with a proactive solution that uses computer vision enabled by a company’s existing camera infrastructure—one that automatically detects and records hazardous conditions, near misses, and unsafe acts, sends real-time alerts to workers to prevent accidents, and informs managers of unsafe conditions/actions that should shut down a process or cause it to be modified.
Visual AI technology is effective for many different applications across a wide range of industries, but leveraging its HSE capabilities to create safer manufacturing workplaces is an especially critical AI use case.
AI-powered visual monitoring technology enables HSE managers to quickly and accurately identify and address processes, behaviors, and conditions that cause unacceptable risk. Companies then can improve these situations in a targeted manner, easing the safety burden on employees, enabling organizations to achieve HSE program goals even while employees are focused on their day jobs.
Using existing on-site cameras, visual AI tools autonomously record unsafe conditions and incidents in real-time. This visual information then flows to dashboards, mobile apps, emails, SMS, WhatsApp, or on-site alarm systems so that supervisors can easily track trends, identify potential hazards, and generate proactive alarms without relying on manual intervention or reducing the productivity or focus of factory workers. Multiple streams of activity can be integrated into a single dashboard, where information is then filtered by type, facility, and time of day, including contextualizing snapshot images. This reduces investigation time, aids root-cause analysis, and facilitates post-event worker training. But, even more important than aiding with post-incident investigations, AI-enabled visual systems can significantly reduce the number and severity of accidents in the first place.
The best visual AI tools enable HSE managers to:
- Observe and address previously undetected trends, patterns, and isolated incidents.
- Update training and controls to target problematic patterns.
- Measure the success of process or environmental changes.
- Position managers and workers to own a company’s safety culture
Avathon Autonomy creates a proactive safety environment
The Avathon Autonomy platform supports over 125 end-to-end computer vision use cases for safety, security, visual inspection, productivity, and situational awareness. HSE managers can choose a subset of these use cases to target specific manufacturing and warehouse workplace safety issues, e.g., forklift near-misses, improper stacking, suspended loads, etc. by using some or all of the following use cases:
- Object Detection & Tracking: Are vehicles moving too quickly or erratically? Are they too close to workers? Are they being operated by qualified individuals?
- Facial and PPE Recognition: Are individuals trained and authorized to be in a particular area? Are they wearing proper PPE?
- Activity, Event, and Threat Detection: Is there a collision risk from vehicles being too close to each other or to fixed objects? Have unauthorized individuals entered a restricted area?
- Unsafe Conditions: Have doors been left unsecured? Are hazardous areas appropriately marked? Are there handrails and high-friction flooring and markings where appropriate? Are there unnoticed leaks of water or dangerous substances?
- Safety Issues in Unstaffed Areas: Are fires/smoke appearing in unstaffed areas?
AI-enabled visual systems are uniquely equipped to see and proactively alert on all of these situations and many more, without relying on workers to discover and report them.
Conclusion:
Continuing year-on-year increases in factory risks and worker accident rates do not have to be accepted as a normal state of affairs. The development of computer vision and visual AI have in recent years achieved a level of technological maturity and adoption that such systems can now deliver genuine value to enterprises and greater workplace safety for employees. Avathon’s Autonomy platform minimizes time-to-value for operationalizing enterprise computer vision technology, delivering sustainable HSE benefits across a wide range of manufacturing processes and locations.
Organizations have the flexibility to configure the Autonomy platform to best suit their processes, environment, and infrastructure, whether manufacturing floors, warehouses, or other production facilities. Ultimately, integrating AI into manufacturing isn’t about replacing the human element—it’s about protecting it. By transforming safety from a reactive protocol into a predictive shield, AI-powered Autonomy ensures that the most valuable asset on any factory floor always returns home whole. The future of manufacturing isn’t just smarter; it’s safer.
To learn more about how Avathon’s Autonomy platform can empower your organization to ensure worker safety while delivering greater productivity and profitability, visit our site https://avathon.com/solutions/avathon-autonomy-for-hse/
