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Case Study

Transforming Warehouse Safety at Scale in the USA

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The Impact of Innovation

Following successful trials at Tyson Foods' Discovery Center, Bigmate partnered with the food processing giant to deploy the WARNY Warehouse Safety Solution across five major distribution centers. This enterprise-scale implementation aimed to enhance worker safety in high-risk environments where forklifts, personnel, and loading dock operations intersect daily.

  • - Scale: 4 major distribution centers
  • - Locations: Alabama, Kentucky, North Carolina, Virginia
  • - Coverage: Approximately 40 cameras per site
  • - Technology Used: Edge Computing, Computer Vision, AI
  • - Implementation: 1-3 months per site
  • - Key Use Cases: Person-forklift proximity, forklift-forklift interaction, trailer safety
  • - Target Outcome: Real-time safety intervention and incident prevention

The Challenge

Enhancing Safety Across Multiple Facilities

In today's high-velocity food processing and distribution environments, Tyson Foods faced a critical safety challenge: protecting workers and equipment across multiple large-scale facilities where pedestrians and heavy machinery frequently interact. The traditional approach of relying solely on operator vigilance and administrative controls was insufficient for Tyson's commitment to workforce safety.

Challenges:

  • High-risk interactions between personnel and forklifts
  • Diverse facility layouts and operational patterns
  • Loading dock hazards during trailer operations
  • Need for real-time intervention capabilities
  • Integration with existing CCTV infrastructure
  • Consistent performance across multiple sites
  • Balance between detection accuracy and false alarms
  • Ensuring worker privacy while maintaining safety

The Solution

WARNY Optical Intelligence Solution

Bigmate's WARNY system was implemented to provide comprehensive safety monitoring and alerts across Tyson's distribution centers. The solution focused on three critical use cases: person-forklift proximity detection, person-truck interaction monitoring, and trailer safety monitoring at loading docks. By processing all detection at the edge, WARNY delivers real-time alerts without relying on cloud connectivity.

Key Features of WARNY:

  • Edge-Based Computer Vision Analysis
  • Configurable Safety Zones
  • Integration with Physical Alarm Systems
  • No outbound network dependence
  • Multi-Level Alert System (High/Medium/Low)
  • Existing CCTV Camera Compatibility
  • Privacy-Preserving Personnel Detection
  • No wearable devices required

Overcoming

Implementation Challenges

The multi-site deployment presented several significant challenges that required innovative solutions. Ensuring AI consistency across diverse environments, integrating with existing infrastructure at scale, and developing customized safety rulesets for each facility required careful planning and execution.

Key Implementation Challenges:

  • Environmental Consistency: Rather than training separate AI models for each facility, Bigmate used WARNY' generalized detection system capable of adapting to various environments.

  • Integration Scale: The WARNY system was designed to work with standard CCTV cameras, requiring only the addition of edge computing units at each facility, minimizing installation costs while maximizing use of existing infrastructure.

  • Customizable Rule Implementation: WARNY's advanced safety zone and configurable ruleset functionality allowed for tailored implementation at each site.

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Results

Enhanced Safety Across Facilities

The WARNY system is now fully operational across five Tyson Foods distribution centers, monitoring approximately 200 camera feeds and providing real-time safety protection. The system is actively detecting personnel within unsafe proximity of moving forklifts, monitoring person-to-forklift & truck-to-person interactions, and identifying when personnel are inside trailers at loading docks.

Key Operational Capabilities

The implementation has transformed safety management from a reactive to proactive approach by providing real-time awareness of safety violations, creating standardized safety data across multiple facilities, enabling safety teams to identify high-risk areas and operational patterns, and reducing reliance on administrative controls alone.

Conclusion

A Safer Future for Food Distribution

The WARNY implementation at Tyson Foods demonstrates the scalability and adaptability of edge-based computer vision safety systems across large enterprise deployments. By leveraging existing camera infrastructure while adding intelligent detection capabilities, Tyson has enhanced warehouse safety without disrupting operations.

This enterprise-scale deployment serves as a model for how innovative technology can be applied consistently across diverse facilities while maintaining high detection accuracy and operational reliability. The partnership between Bigmate and Tyson Foods continues with ongoing monitoring, system refinement, and exploration of additional safety use cases.

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