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Executive Pitch: Edge-Based Anomaly Detection Software on SBC Platforms

Decision Makers Ltd offered abnormal event detection software built for Single Board Computers (SBCs), enabling industries to monitor, detect, and act on critical events in real time, directly at the edge.

 

Our solution addresses urgent needs in water safety, manufacturing uptime, agricultural efficiency, and defense infrastructure resilience. It runs on low-cost, low-power edge devices from leading hardware providers.

 

Marketing Justification.

 

1. Market Opportunity and Size

 

The global market for edge computing is projected to reach $155 billion by 2030, growing at a CAGR of over 15%. Within this domain, Single Board Computers (SBCs) such as Raspberry Pi, NVIDIA Jetson, and Radxa are rapidly gaining traction due to their low cost and adaptability in edge deployments.

 

Simultaneously, the anomaly detection market is projected to exceed $8 billion by 2027, driven by a rising need to monitor critical systems in real time. Applications such as water safety, manufacturing automation, agricultural yield optimization, and military infrastructure protection are leading to this growth.

 

Combining SBCs and anomaly detection software offers a highly scalable, low-latency, and cost- effective solution that aligns with the operational needs of diverse high-value sectors.

 

Key SBC Hardware Providers include:

 

  • Raspberry Pi Foundation – globally dominant in educational and industrial applications.
  • Radxa – powerful boards (e.g., Rock 5) for AI workloads at the edge.
  • NVIDIA – Jetson line for GPU-accelerated inference.
  • BeagleBoard and Hardkernel (ODROID) – trusted in industrial and embedded applications.
  • Any Java capable system

 

The MicroEDS is tested over the above hardware.

 

Strategic Value

 

  • Cost-Efficient: Cut infrastructure and maintenance costs by deploying smart edge nodes under $200.
  • Latency-Free: Instant alerts and decisions—no need to wait for cloud processing.
  • Scalable & Modular: From a single sensor to a nationwide grid of autonomous detectors.
  • Privacy-Compliant: Process sensitive data locally, protecting IP and privacy.

 

  • Customer Needs and Use Cases

 

Water Quality Monitoring

 

  • Utilities require real-time detection of chlorine level drops, turbidity spikes, and pH shifts to comply with regulatory standards (e.g., EPA, EU Drinking Water Directive).
  • SBCs allow distributed in-situ monitoring in remote stations without complete infrastructure— ideal for rural and decentralized water networks.

 

Manufacturing and Industrial Automation

 

  • Manufacturers must detect vibration anomalies, thermal inconsistencies, and machine wear to reduce downtime and ensure predictive maintenance.
  • SBCs provide on-machine intelligence at a fraction of the cost of industrial PCs, and support real-time edge decisions.

 

Agriculture and Smart Farming

 

  • Farmers and agri-tech firms require detection of irrigation anomalies, soil sensor faults, or climate control deviations in greenhouses.
  • SBCs enable localized environmental control and anomaly alerts, even in fields without network coverage.

 

 

Military and Defense Infrastructure

 

  • Defense sectors demand perimeter breach detection, equipment sabotage indicators, and autonomous surveillance alerts.
  • SBC-based solutions are rugged, low-power, and suitable for covert deployment in mobile and tactical environments.

 

3. Strategic Advantages of The MicroEDS SBC Software

 

  • Optimised AI/ML Models: Lightweight inference engines for real-time anomaly detection using statistical rules, ML classifiers, or neural nets.
  • Sensor Integration: It is compatible with the MODBUS protocol, which is widely used.
  • Resilience: Operates in low-bandwidth or disconnected environments with on-device decision- making and deferred synchronisation.
  • Remote Fleet Management: Central command center to configure, update, and monitor thousands of distributed SBC units across domains.

 

4. Competitive Differentiation

 

  • Unlike generic edge platforms, our software includes pre-trained templates for domain-specific detection: e.g., turbidity threshold models, machine vibration profiling, and soil conductivity
  • drift.
  • Built-in support for secure data isolation and tamper detection makes it ideal for defense and public-sector use.
  • Supports multi-platform SBCs (e.g., Raspberry Pi, Radxa, NVIDIA Jetson, Beagle Bone) offering flexible deployment across environments and budgets.

 

 

Conclusion

 

As industries demand real-time, distributed, and resilient systems for detecting abnormal events, SBC-based solutions are emerging as the ideal platform. Our software addresses mission-critical needs in water safety, industrial uptime, food security, and national defence—all while enabling rapid, scalable deployment at the edge.

 

By empowering edge intelligence where it's needed most, our solution helps organisations reduce risk, comply with regulations, and act faster—at a fraction of traditional system costs.

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