Seewise AI – Intelligent Shopfloor Monitoring

Real-Time Visibility. Measurable Outcomes. Safer Operations.

Seewise AI is an advanced AI-powered monitoring platform designed for manufacturing environments to deliver real-time visibility across operations. Combined with Inspace implementation expertise, the solution enables organisations to improve productivity, enforce compliance, and ensure workplace safety at scale.


Overview

Manufacturing operations often operate with limited real-time visibility, resulting in inefficiencies across productivity, safety, and compliance.
Seewise AI addresses this gap by enabling continuous monitoring of:

  • Man (Workforce behaviour and safety)
  • Machine (Utilisation and downtime)
  • Method (Process adherence)
  • Material (Usage and losses)

This integrated approach ensures better decision-making, risk reduction, and operational control.

Key Challenges Addressed

Organisations typically face:

  • Untracked downtime and idle machinery
  • Prolonged cycle times and productivity leakage
  • Workplace safety risks and unsafe practices
  • Material wastage and inefficient processes
  • Compliance gaps and audit challenges
  • Delayed emergency response
  • Unauthorised access and restricted area violations

These issues directly impact output, cost, and regulatory exposure.


Solution Approach

Seewise AI leverages:

  • Existing CCTV infrastructure as the primary data source
  • A proprietary Vision Language Model (VLM)
  • Real-time 4M monitoring framework

This enables:

  • Continuous monitoring without manual intervention
  • Real-time violation detection
  • Immediate alerts for proactive action

Core Capabilities
  • Real-time monitoring of shopfloor activities
  • End-to-end operational visibility
  • Automated alerts for safety and process violations
  • Predictive and preventive insights
  • Centralised dashboard for performance tracking
  • Digital traceability for audit and compliance


Solution Modules

Seewise AI delivers modular solutions across key operational areas:

Workforce & Safety Monitoring
  • PPE compliance monitoring
  • People presence and crowd detection
  • Unsafe behaviour identification

Movement & Logistics Monitoring
  • Forklift and vehicle movement tracking
  • Collision detection and overspeed alerts
  • Truck entry, exit, and loading optimisation

Machinery & Process Monitoring
  • Equipment utilisation and availability
  • Downtime and idle tracking
  • Production cycle monitoring

Premises & Compliance Monitoring
  • Restricted area access control
  • Emergency exit monitoring
  • Fire safety compliance tracking
  • Unattended object detection

Business Outcomes
Implementation results in measurable improvements:

  • Reduced downtime, stoppages, and operational losses
  • Improved machine utilisation and workforce productivity
  • Reduction in material wastage
  • Enhanced safety compliance and incident reduction
  • Faster emergency response readiness
  • Improved audit traceability and reporting
  • Strengthened operational governance and control

Operational Impact
Manufacturing organisations face significant financial exposure due to inefficiencies and non-compliance:

  • High costs associated with downtime, incidents, and inefficiencies
  • Increased legal, insurance, and compliance-related risks
  • Higher operational expenditure due to productivity loss

Seewise AI enables organisations to reduce these risks and drive measurable ROI.

Technology & Integration
The platform integrates with existing enterprise systems including:

  • PLC and industrial control systems
  • MES (Manufacturing Execution Systems)
  • Legacy systems and IoT sensors
  • Communication systems such as email and SMS alerts

Deployment flexibility:

  • On-premise
  • Cloud
  • Hybrid

Case Insight (Illustrative Impact)
  • Improved production output by increasing operational cycles
  • Reduced downtime and unavailability
  • Enhanced process efficiency and resource optimisation

Why Seewise with Inspace
  • Built specifically for manufacturing environments
  • Rapid and measurable improvements in productivity and safety
  • Real-time monitoring across multiple parameters
  • End-to-end implementation and support by Inspace
  • Continuous optimisation through AI-driven insights

Engagement Model
Inspace acts as the implementation partner, delivering:

  • Requirement assessment and solution design
  • Deployment and integration support
  • Customisation aligned to plant operations
  • Ongoing optimisation and support

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