Use cases

Problem to solve

Traditional industries want to leverage AI for managing and analyzing data, but they struggle with outdated systems and uncertainty about where to start

Lack of AI Capability

Outdated Infrastructure

Scaling Challenges

  • No real-time insights or detection
  • Unable to effectively manage video, audio, and operational data
  • High operational risks and data security vulnerabilities
  • Incompatible with AI technologies
  • Significant capital expenditure (CapEx) required for modernization
  • Limited scalability leading to higher Total Cost of Ownership (TCOU)
  • Resource-intensive and costly multisite expansion

Atomrock can empower industries with AI-driven, cost-effective, scalable, and secure solutions that reduce TCO and enable digital transformation


Atomrock Value Position

We provide AI solutions integrating edge and cloud technology, combining image, audio, and data analytics for intelligent operations and IoT management

AI Powered Security

Scalability

Cost Efficiency

Seamless Integration

Data Protection

Easy Maintenance

Real-time threat detection, facial recognition, and anomaly alertsReduce operational expenses (OpEx) with cloud-based licensing, facilitating instant expansionMinimize Total Cost of Ownership (TCO) with predictable modelsIntegrates with existing devices and systems effortlessly, ensuring compatibility without disruptionISO 27001 certified, supporting compliance with GDPR and HIPAA requirementsNo on-site servers, automatic updates, and quick fixes without the risk of data loss

Application - Production Line

Enhances production quality, efficiency, and machine reliability

Pain Points Solved

  • High-speed, continuous inspection without manual intervention
  • Detects minor defects to boost yield rates
  • Recognizes abnormal noises for early and predictive maintenance
  • Auto-stops machines during emergencies for safety
  • Controls emissions by detecting smoke
  • Combines visual and audio data for in-depth analysis to optimize processes
  • Seamlessly integrates with multiple production lines for unified management

Application - Retail

Optimizes Prevention, Inventory, and Experience

Pain Points Solved

  • Efficient inventory management to prevent stockout and overstocking 
  • Loss prevention with real-time monitoring of suspicious activities
  • Enhanced shopping experience based on customer behavior analysis
  • Strategic promotions based on data-driven insights
  • Improved employee familiarity with products and inventory
  • Energy management to reduce waste and costs
  • Unified system control for seamless operations

Application - Smart City

Optimizes Traffic Flow, Public Safety, and Sustainability

Pain Points Solved

  • Reduces traffic congestion with realtime signal control
  • Enhances public safety with AI-driven monitoring for threats and emergencies
  • Improves resource efficiency with smart management of lighting, energy, and waste
  • Maintains air quality with monitoring and adjustments to reduce pollution
  • Ensures seamless connectivity by integrating city systems across departments
  • Provides real-time insights to officials on mobile apps for informed decisions

Successful Stories - Use Case: Thailand USO.NET

Case Overview

  • USO.NET is a key national initiative aimed at expanding internet access to tens of thousands
  • Atomrock 500+ ensures safety across centers with advanced technology solutions

Key Results

  • 3,000+ cameras deployed nationwide
  • Centers provide internet, computer access, and public learning spaces

Impact

  • Strengthened with scalable technology
  • Laid the foundation for future to enhance operational efficiency and user experience

Development: Rapid Deployment & Continuous Support

Pilot Phase

Widespread Deployment

Comprehensive Maintenance

  • Provide devices for immediate testing
  • Deployment and officer training completed within days
  • Detailed analysis of accuracy, efficiency, and cost savings based on testing performance
  • Scalable options with installment plans and annual licensing
  • Compatible with existing systems,
    requiring no additional infrastructure
  • For projects with hundreds or thousands of devices, provide specialized AI model optimization services
  • Quick on-site or remote support for any issues
  • Quarterly upgrades with new AI features, adaptable to local trends
  • Regular audits to ensure data security compliance
  • Develop tailored solutions for specific needs

Key Capability: User-Trained Multimodal AI Models

Enables users to build precise, domain-specific AI models

Audio-visual AI Fusion

  • Trains both vision and audio models for more accurate and robust environmental understanding

Customized Models

  • Models are fine-tuned for specific environments, objects, or events of interest

Accuracy

  • Achieves high precision in tough conditions with sufficient domain-specific data

Key Capability: Central AI for Coordination & Optimization

Drives continuous AI improvement through centralized learning and coordination

Coordinated Decisions

  • Aligns edge responses through centralized AI logic for consistent system-wide actions

Centralized Tracking

  • Aggregates multi-device inputs for unified target monitoring and cross-location visibility

Adaptive Models

  • Continuously improves AI models based on new data and operational feedback

Long-Term Intelligence

  • Stores historical data to support behavioral analysis, pattern recognition, and auditing

Use Case - Airport - Vision AI

Wide-Area Visual Intelligence for Airside and Perimeter Security

What Vision AI Delivers

  • Monitors fences, runways, and access points for intrusions and unauthorized movement
  • Detects low-flying objects like drones and birds near restricted zones
  • Identifies high-risk individuals or visible weapons through real-time visual recognition
  • Tracks vehicles and personnel across open areas in real time
  • Enhances patrol visibility and fills blind zones beyond camera range

Scenario: Low-Altitude Drone Near Runway

  • At 2:17 PM, Vision AI identifies a low-flying drone entering the no-fly perimeter near an active runway. The drone is tracked across multiple camera angles, with trajectory and speed analyzed in real time. An immediate alert is sent to the control tower and ground operations teams. Depending on the threat level, countermeasures such as directional jamming or runway lockdown can be deployed.

Use Case - Airport - Audio AI

Real-Time Acoustic Detection in Noisy, High-Traffic Zones

What Audio AI Delivers

  • Detects screams, glass breaking, or unusual metal impact in terminals and restricted zones
  • Filters out crowd noise and announcements to isolate suspicious sounds
  • Transcribes emotionally charged speech in multiple languages and tags key phrases
  • Triggers alerts in visually obstructed or hightraffic areas, such as waiting zones or baggage
    claim
  • Enhances detection coverage by identifying sound-triggered threats earlier

Scenario: Panic Near Boarding Gate

  • At 7:42 AM, Audio AI detects raised voices and a sharp crashing noise near Gate B3. The system isolates the incident from background announcements and identifies a multilingual shouting match with emotionally charged phrases. Security teams are alerted instantly, with audio context and location coordinates pushed to mobile units. The situation is de-escalated quickly.

Use Case - Airport - Central AI

Unified Oversight and Coordinated Response for Complex Airport Environments


What Central AI Delivers

  • Sends alerts and live feeds to control towers, patrol tablets, and mobile response units
  • Centralizes logs and evidence for efficient post-incident review
  • Orchestrates lockdowns, reroutes, and public broadcast overrides
  • Activates deterrent systems (e.g. jammers, alarms, lighting) against aerial intrusions
  • Prioritizes high-risk individuals by analyzing appearance and behavior, and dispatches response accordingly

Scenario: Dual Threat at Outer Apron and Terminal Hall

  • At 4:28 PM, Vision AI detects a drone breach near the fence and, at the same moment, flags a high-risk individual in Terminal C. Central AI confirms both incidents, activates a localized jammer and directional alarm for the drone, and dispatches patrol to intercept the flagged individual. Live feeds are sent to the tower and mobile units; both events are resolved and logged for unified review.