AI SOLUTIONS FOR FACTORIES
Proactive Operations – Agile Manufacturing in the Age of Artificial Intelligence
In today’s fast-paced manufacturing landscape, where speed, precision, and adaptability are essential, factories must go beyond efficient operations — they need smart operations.
By integrating real-time data, computer vision, and artificial intelligence, AI-powered factory solutions empower managers to maintain precise control over every process — from workforce and equipment to product quality. These systems not only detect defects early and reduce waste but also analyze performance, identify bottlenecks, and automatically recommend optimizations.
This marks a strategic transformation — where AI becomes a powerful ally to human expertise, enhancing operational capabilities and enabling a new era of manufacturing that is more agile, accurate, and advanced than ever before.
Partners & Customers
Comprehensive AI Solutions for Factories
AI solutions for factories usher in a new era of smart operations, where data, people, and machines are seamlessly connected to enhance efficiency, safety, and competitive advantage.
Security & Safety Surveillance
Employee Management
Smart Parking
Warehouse Management
Product Quality Control
Equipment Monitoring
Operational Data Analysis
Security & Safety Surveillance
- Visitor registration via facial recognition or national Identification
- Access control through facial recognition and role-based authorization
- Intrusion detection in restricted areas
- Alerts for missing personal protective equipment (PPE)
- Detection of violent, abnormal behavior, fighting, or falls
- Fire, smoke, and water leak detection
- Detection of unusual loitering during working hours
- Alerts for climbing, unauthorized door, access, or equipment vandalism
- Automatic recording of abnormal incidents with video logs for post-event review
Employee Management
- Facial recognition-based attendance tracking
- PPE detection (missing personal protective equipment)
- Employee location tracking and movement flow monitoring
- Detection of abnormal behavior
- People counting by area to prevent overcrowding in hazardous zones
- Task performance analysis using AI pose tracking
Smart Parking
- License plate recognition
- Vehicle information identification: type, brand, color, seating capacity
- Driver identification via facial recognition or national ID card
- Logging vehicle entry/exit times and destinations
- Detection of vehicles moving in the wrong lane or parked in unauthorized areas
- Vehicle counting by shift or route
Warehouse Management
- Counting products, pallets, and cargo boxes
- Tracking the location of goods on the line or shelves
- Detecting missing items, incorrect codes, or wrong storage trays
- Analyzing goods movement flow to optimize inbound–outbound processes
- Integrating AI cameras with WMS/ERP systems for automatic warehouse entry logging
Product Quality Control
- Detect surface defects: cracks, discoloration, scratches
- Identify incorrect dimensions or shapes
- Compare with standard reference images
- Verify barcodes, labels, and QR codes for correct position and format
- Classify products as pass/fail based on quality standards
- Continuously learn from new defects to improve the inspection model
- Integrate with rejection systems to automatically remove non-conforming products
Equipment Monitoring
- Identify equipment status: running / idle / error
- Count operating cycles
- Detect abnormal equipment behavior
- Alert when downtime exceeds the allowed threshold
- Record video footage during equipment failures
- Support early fault detection on machines without sensors
Operational Data Analysis
- Analyze machine/line running and downtime through camera monitoring
- Automatically generate performance reports by line, shift, machine, or personnel
- Identify bottlenecks in the workflow
- Create heatmaps of personnel and goods movement
- Comprehensive dashboard with full operational insights
- Compare performance across lines, shifts, or areas
- Natural language queries supported by AI agent
FEATURES
Facial Recognition
Defective Product Detection
Virtual Fence
Area Monitoring
Smoke and Fire Detection and Alerting
Behavior Analysis
Warehouse Management
License Plate Recognition
Visual Dashboard
Automated AI Agent
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Development Process
ATIN’s AI system development process is systematically implemented through 7 clear steps, ensuring flexibility, efficiency, and a strong commitment to quality at every stage.
1
Project Initiation
Define the project's objectives, scope, and core requirements to ensure a clear understanding of the problem and establish a solid foundation for the next phases.
2
Project Planning
Develop a detailed implementation plan, allocate resources, and define clear timelines to optimize progress and execution efficiency.
3
System Design
Outline the system architecture, define data flows and user interfaces to ensure stability, scalability, and alignment with specific requirements.
4
Agile Development
The system is developed using the Agile methodology, allowing for rapid adjustments based on real-world feedback. Each small phase is continuously refined to ensure effectiveness and alignment with actual needs.
5
Quality Testing
Conduct comprehensive testing to ensure the system operates as required—stable, secure, and compliant with the highest quality standards.
6
Handover and Deployment
Deliver the complete system, deploy it in the production environment, and provide operational training along with technology transfer support.
7
Maintenance and Support
Beyond delivery, ATIN is committed to long-term partnership—continuously upgrading, maintaining, and optimizing the system to keep you ready for what’s ahead.