Ensuring optimal use of IoT devices
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Device lifecycle management
A completely managed solution, Softnautics IoT Device Lifecycle Management solution monitors, manages, and maintains IoT devices powered by our ready-to-use modules. It supports Scalability, Modularity, where customers do not have to worry about deployment and operational issues.
Features
Device Lifecycle Management
• User Management
• Gateway Provisioning
• Event and Notification Management
• Ease of Deployment
• Application & Configuration Management
• OTA Upgrades
• Remote Device Provisioning
• Secure Communication
Gateway Framework and Management
• Scalable
• Modular
• Mesh Connectivity
• Hardware Architecture Agnostic
• Device Modeling
• Multiple Protocol Connectivity
• Device Interoperability
• Microservice Architecture
Build on scalable and highly available serverless architecture
• High Data Ingestion Capability
• Resilient and Secure
• Supports Bulk Provisioning
• Digital Device Identity
Key Benefits
Data security
Remote control
Multi-protocol connectivity
Tools and Framework
Softnautics Test Automation Framework
Developed by Softnautics, STAF is a robust and cost-effective framework that provides end-to-end testing across embedded devices, web, cloud, and mobile. This modular, configurable accelerator fast tracks the test setup and is a powerful platform for developing, executing, and analyzing test cases. Along with the integration of edge devices, this framework also represents ownership of the environment and supports privacy and security.
Features
Mobile
Android mobile app UI testing
Cloud
Cloud Application using REST API with HTTP/MQTT
Embedded
End to end Functional Testing
Web
Web UI cross browser testing
Key Benefits
It enables faster feedback for Agile and DevOps for reduced total cost ownership (TCO)
Plug & play module
Reusable test scripts
Execution on multiple devices
Supports event-driven cases
Captures debug logs
Automated report generation
Tools and Framework
ML Model and Reference Designs
Our capabilities enable organizations to leverage Machine Learning and Deep Learning for a variety of operations in Healthcare, Networking, IoT, Retail, Telecommunication, Security and Surveillance, and other industries. We create ML solutions with TensorFlow, Caffe, MXNet, and other deep learning frameworks.
Features
Intelligent Edge ML Solutions
Object Detection
• Enhanced surveillance to better customer experience
• Improved real time tracking performance
Face Recognition
• High accuracy avoiding false identification
• Multi face detection and tracking
Key Benefits
Real-time decision-making
Efficient predictive maintenance
Enhanced security
Image recognition
Elimination of manual data
Increased productivity
Tools and Framework
Network-based Mobility Management (LMA/MAG)
Softnautics PMIPv6-based IP flow mobility solution adheres to RFC5213. Our logical functional entities – LMA (Local Mobility Anchors) and multiple MAG (Mobile Access Gateway) – work seamlessly on any platform running Linux and are thoroughly tested for Wi-Fi. Our capabilities enable 3G/4G/5G operators to leverage Wi-Fi, resulting in a low-cost alternative that provides superior service and manages data traffic based on easy-to-set-up user-controlled rules and policies. The implementation enables solution development for LWA and DMM (Distributed Mobility Management)..
Features
Smooth Offloading
• Any access technology—WiFi/3G/4G/5G/MAG
• Offload 3G traffic to WLAN when available
• Seamless IP handovers
Optimized for latency
• Multi homing
• Vertical/horizontal handovers
Key Benefits
Real-time decision-making
Capacity expansion at no additional cost
Easy to define multiple need-based rules and policies
Improved user experience
Tools and Framework
Pcap
Ipsec
IPv6
Iptables
