Workplace injuries in computer and electronic product manufacturing disrupt lives and operations. This sector employs over one million workers, and despite advancements in safety technology, injuries remain a major concern. The most common incidents include musculoskeletal disorders, lacerations, burns, eye injuries, and chemical exposures.

Every injury is a signal: somewhere, a protocol slipped, a hazard went unnoticed, or a best practice wasn’t followed. The good news? modern video AI and forward-looking safety programs can help identify these risks before they escalate. In this guide, we’ll break down the top 3 injuries that can occur in computer and electronic product manufacturing facilities and, most importantly, how to mitigate them—with proven strategies and the support of AI-powered video analytics.

The Cost of Safety Negligence in Computer and Electronic Product Manufacturing

Neglecting safety has financial consequences in addition to human risk. OSHA penalties for safety violations can be substantial, representing considerable costs from avoidable incidents. Forward-thinking safety measures—supported by tools like AI-powered video intelligence—protect both people and organizations from these avoidable outcomes.

The top 3 avoidable injuries in computer and electronic product manufacturing

Let’s get practical: Here are the four most common—and highly avoidable—injuries in this industry, which can be addressed with video analytics and smarter safety systems.

1. Caught-In/Compressed by Machinery

The risk: A technician bypasses a machine guard during routine maintenance to clear a jam. If the machine cycles unexpectedly, the worker’s hand can be caught, causing a severe injury like an amputation.

Root Causes & Impact: Amputations are among the most serious injuries in this sector, with most cases involving unguarded machines, bypassed interlocks, or lockout/tagout failures. The cost of these injuries, both financial and personal, is immense.

How video AI helps: AI-powered video can send real-time alerts if a person enters a designated no-go zone around dangerous machinery. This deters unauthorized access during operation or maintenance. Video can also be used to review incidents, supporting insight-driven retraining on safety protocols like lockout/tagout.

2. Struck by Moving Objects

The risk: A forklift bumps a rack where a pallet of sheet metal is stored too high. The impact can cause the pallet to move, striking a worker below and leading to major injury.

Root Causes & Impact: Struck-by injuries—often from parts, tools, or equipment—are common, especially in environments with stacked inventory and moving vehicles. These incidents can lead to fractures, head trauma, and even fatalities.

How video AI helps: video AI can alert teams when forklifts or people enter restricted areas, such as pedestrian-only walkways or zones beneath heavily loaded racks. This reduces the risk of collisions and struck-by incidents. Video also aids in reconstructing accidents for root cause analysis to improve storage and traffic management policies.

3. Contact with Harmful Substances (Burns & Chemical Exposures)

The risk: An operator cleaning a soldering station without proper PPE can be exposed to hazardous materials. A splash of acidic solvent, for example, can cause a chemical burn to the hand.

Root Causes & Impact: Burns (chemical, thermal, and electrical) and chemical exposures are considerable risks in this industry. Inadequate PPE, unlabeled chemicals, and improper handling are frequent culprits.

How video AI helps: video AI systems can detect when workers enter hazardous zones without the proper PPE and send an alert. They can also monitor entry into restricted chemical storage or handling areas. After an incident, video review makes it easier to identify the protocol breakdowns that led to the exposure.

Obstacles and Impact of Injuries

Here’s how each injury type impacts your workplace—and how technology can support your safety program:

How technology strengthens injury mitigation in computer and electronic product manufacturing

Let’s get specific—here’s how the right tech tools, like Spot AI’s video AI, dovetail with best practices to keep your team safe.

Caught-In/Compressed by Machinery

Safety pain point: Machine guards are removed, or lockout/tagout is skipped in the rush to keep lines moving.

Tech solution: Video analytics can send swift notifications when a person enters a pre-defined no-go zone around dangerous equipment. This helps deter unauthorized access and helps verify that only properly trained personnel interact with machinery. Video review also supports continuous improvement in LOTO compliance.

Struck by Moving Objects

Safety hurdle: Overloaded racks and busy aisles create constant struck-by hazards.

Tech solution: Cameras can be configured with no-go zones to track forklift and pedestrian movements, sending real-time alerts when a vehicle or person enters a restricted area. This reduces the risk of collisions in busy aisles. Video evidence also supports targeted retraining on traffic safety.

Contact with Harmful Substances

Safety roadblock: Workers sometimes skip PPE or don’t notice chemical hazards, especially during routine maintenance.

Tech solution: AI cameras can verify PPE compliance at entry points to hazardous areas, triggering an alert when someone enters without protection. They also monitor for unauthorized entry into controlled zones. Footage accelerates root cause analysis and follow-up actions following an incident.

Practical Implementation of Safety Technology

Rolling out safety technology in computer and electronic product manufacturing doesn’t mean starting from scratch. Most facilities already have camera systems—Spot AI and similar platforms can often layer advanced analytics over your existing infrastructure. Integration with access control, PPE detection, and workflow management systems ensures video data supports—not replaces—your current safety program.

• Prioritize interoperability: Choose platforms that work with your current cameras and IT systems.

• Focus on actionable insights: Look for tools that deliver clear alerts and meaningful analytics, not just raw footage.

• Involve your team: Safety technology is most effective when frontline workers are part of the rollout, ensuring they understand it is a tool for their protection and for coaching, not for disciplinary action.

• Support compliance: Choose a solution that supports meeting OSHA’s electronic recordkeeping standards and your own audit requirements.

The goal? Make safety data as easy to access and use as possible—so you can mitigate incidents, not just react to them.

Ready to Enhance Workplace Safety?

Mitigating injuries helps ensure shifts run smoothly and team members stay safe, strengthening your business. Leading manufacturers know that a technology-driven approach to safety is essential. See Spot AI in action to discover how video AI can help you address safety risks before they escalate and support your team.

Frequently asked questions

How can AI cameras improve safety in computer and electronic product manufacturing?

AI cameras can automatically detect safety events—like people in no-go zones, or missing PPE—and send real-time alerts. They also capture incidents and unsafe behaviors, making it easier to identify trends and mitigate future incidents.

What are the main compliance considerations for safety technology in this sector?

Facilities must comply with OSHA 300/300A electronic recordkeeping, as well as NAICS 334-specific standards like SEMI S2-0706 and NFPA 75. Safety technology should support accurate, real-time reporting and integrate with your existing compliance workflows.

How complex is it to integrate video analytics with our current camera system?

Most modern video AI platforms, like Spot AI, are designed to work with existing IP camera setups. Integration usually involves software installation and some configuration—not a full hardware overhaul.

What’s the first step to implementing a video-driven safety program?

Start with a safety assessment. Identify your highest-risk areas and key injury drivers, then engage with a technology partner—like Spot AI—to design a solution that supports your specific goals.

What is the best video analytics for workplace safety?

The best systems go beyond passive recording to deliver real-time, specific alerts for events like missing PPE. A top-tier platform should integrate with your existing cameras to minimize cost and deliver actionable analytics—like incident hot spots—through a user-friendly interface. This empowers safety teams to use video AI for anticipatory coaching and risk mitigation, not just after-the-fact reviews.

About the author

Joshua Foster is an IT Systems Engineer at Spot AI, where he focuses on designing and securing scalable enterprise networks, managing cloud-integrated infrastructure, and automating system workflows to enhance operational efficiency. He is passionate about cross-functional collaboration and takes pride in delivering robust technical solutions that empower both the Spot AI team and its customers.