Prowesstics
AI-Powered Monkey Picking Detection by Prowesstics

Enhancing Operational Monitoring Through Monkey Picking Detection and Real-Time Alerts

Overview

In dynamic warehouse and retail environments, safety and compliance are paramount—but often go unnoticed, putting both workers and operations at risk. One of the most frequent yet overlooked safety violations is "monkey picking": employees climbing on storage racks to retrieve items, violating safety protocols and risking injuries, inventory damage, and regulatory violations.

To address this challenge, Prowesstics deployed an AI-powered behavior detection system that monitors unsafe actions such as rack climbing and triggers instant alerts—enhancing workplace safety and operational compliance.

Problem Statement

  • Employees sometimes climb storage racks or perform other unsafe actions to complete tasks faster, despite having safety rules in place.
  • No current system exists to detect employees climbing storage racks or performing unsafe movements.
  • Manual monitoring fails to identify these actions in real-time, delaying response.
  • Unsafe behaviour like climbing leads to increased risk of injuries and product damage.
  • Lack of alerts during such incidents results in non-compliance with safety standards.
  • Absence of digital logging makes it difficult to audit or investigate safety violations.

Solution

To address these gaps, Prowesstics implemented a real-time AI vision analytics solution that continuously monitors employee behavior around storage zones and detects violations through computer vision and movement recognition. The solution includes:

  • Posture-Based Detection: AI models trained to recognize dangerous behaviors like climbing, crouching based on annotated body posture data.
  • Geofencing: Defined digital zones around storage racks and restricted areas using mapped CCTV feeds.
  • Real-Time Alerts: Immediate notifications via SMS, email, or mobile app when violations are detected.
  • Incident Logging: Events are captured with time stamps, locations, and frames for investigation and compliance audits.
  • Dashboard Integration: A centralized alert dashboard allows supervisors to review, acknowledge, and act on incident reports.

Operational Flow

Capture ➝ Train ➝ Detect ➝ Alert ➝ Log ➝ Secure

  • AI Behavior Training: Train AI models on posture annotations (e.g., climbing, crouching).
  • Zone Monitoring & Detection: Geofence storage areas via CCTV feeds and detect unsafe movements in real time.
  • Alert Trigger & Notification: Instantly trigger alerts via SMS, email, or mobile app through integrated APIs.
  • Incident Logging & Dashboard: Log events with time, location, and snapshots; display on supervisor dashboard.
  • Audit & Security Controls: Store data securely with access control for audits and compliance tracking.

Business Impact

  • 80% reduction in unsafe climbing incidents.
  • Real-time alerting with geo-tagged data enabled faster intervention and response.
  • Enhanced compliance with workplace safety regulations.
  • Boost in productivity as supervisors could focus on core tasks, not manual surveillance.

Conclusion

Climbing storage racks might seem like a minor shortcut—but it can lead to serious consequences. With Prowesstics’ AI-powered monkey picking detection system, what was once invisible is now visible, traceable, and preventable.

This innovation not only transforms safety monitoring but also builds a culture of accountability and compliance across large-scale retail and warehouse operations. As workplace safety becomes increasingly data-driven, AI vision analytics is proving to be a powerful tool in protecting both people and products.