Transforming Your Business with IoT + Edge Computing
Unlock real-time insights and enable intelligent actions at the source with Aeologic's IoT & Edge Computing solutions. We design and deploy robust systems that collect data from connected devices, process it locally at the edge for low latency, and transmit essential information to the cloud for further analysis and storage. This approach optimizes bandwidth, enhances security, and enables faster decision-making.
Why Aeologic for IoT + Edge Computing?
Aeologic combines expertise in IoT device management, network protocols, edge computing frameworks, and cloud IoT platforms. We develop end-to-end solutions, from sensor integration to edge analytics and cloud dashboards, ensuring seamless data flow and actionable intelligence for your specific use case.
Key Benefits of Our IoT + Edge Computing
- Reduced latency for critical decision-making.
- Lower bandwidth costs by processing data locally.
- Enhanced data security and privacy by minimizing transmissions.
- Improved reliability with offline operational capabilities.
- Scalable solutions from small deployments to large sensor networks.
- Real-time analytics and alerts from connected devices.
- Optimized performance for resource-constrained devices.
- Faster response times for industrial control and automation.
Our IoT + Edge Computing Process
Use Case & Feasibility Analysis
Identifying opportunities for IoT and edge computing, and assessing technical and business viability.
Hardware & Sensor Selection/Design
Choosing appropriate IoT devices and sensors, or designing custom hardware for specific needs.
Edge Computing Architecture Design
Designing the edge processing logic, data filtering, and communication protocols.
IoT Platform & Cloud Integration
Integrating edge devices with IoT cloud platforms (AWS IoT, Azure IoT Hub, etc.) for management and analytics.
Development & Deployment (Edge & Cloud)
Developing software for edge devices and cloud applications, and deploying the solution.
Testing, Monitoring & Optimization
Rigorous testing of the entire system, continuous monitoring, and performance optimization.
Real-World Applications: IoT + Edge Computing Use Cases
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Predictive Maintenance for Industrial Machinery (Edge AI)
Deployed edge devices with AI models to analyze sensor data locally and predict equipment failures in a factory.
Smart City Traffic Management with Edge Processing
Used edge computing at intersections to analyze video feeds and optimize traffic light timings in real-time.
Remote Asset Monitoring with Offline Capabilities
Developed an IoT solution for monitoring assets in remote locations with intermittent connectivity, using edge storage and processing.
Healthcare Patient Monitoring at the Edge
Implemented edge devices to process vital signs from wearable sensors locally, providing instant alerts for critical conditions.
Retail In-Store Analytics using Edge Vision
Deployed edge devices with computer vision to analyze customer foot traffic and behavior within retail stores anonymously.
Agricultural Drone Data Processing at the Edge
Enabled on-drone processing of imagery for immediate crop health assessment in agricultural applications.
Technologies We Leverage
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support@aeologic.com +91-120-3200058 +91-120-3200059Mon - Fri, 9:00 AM - 6:00 PM (IST)
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