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IoT Development

Overview

Here at CyberVision, the IoT is our core competence and major R&D field. We’ve been engaged in the development of numerous variations of IoT solutions and smart, connected products. To highlight our major directions: IoT embedded firmware and OS development, IoT application middleware, software development for smart products, hardware design, digital signal processing, data gathering and analysis algorithms, and machine learning.

Embedded operating systems and firmware for smart products
Embedded operating systems and firmware for smart products

Drivers and connectivity components for smart products
Drivers and connectivity components for smart products

IoT applications on top of wearable devices and consumer electronics
IoT applications on top of wearable devices and consumer electronics

Smart products integration
Smart products integration

Smart products
and IoT applications

The Internet of Things is dramatically changing the landscapes of consumer and industrial markets: customers expect greater value for their money, manufacturers rearrange their supply chains to incorporate a new technology stack into their products, and the definition of product itself loosens its rigid boundaries.

This occurs as the market shifts from discrete, isolated products toward compound systems that link together related products in a way that amplifies their total worth and usefulness. Software and connectivity components are becoming part and parcel of high-quality household appliances, electronic devices, and measuring tools.

IoT-powered
big data analytics

Apart from augmenting the value of products and devices, the IoT technologies extend the application of big data platforms by allowing for a much greater range of data collecting elements. Technical impediments are no longer the case when it comes to tapping into the right source of information - with the modern sensors and microprocessors combined with the IoT application firmware, it is possible to obtain almost any conceivable data. However, the broad implementation of data processing systems must go in parallel with implementation of correct business intelligence models and data science methods.

IoT infrastructure
IoT infrastructure

Set up data collection and analysis

IoT applications and firmware
IoT applications and firmware

Enable structured and secure data collection

IoT-driven data mining
IoT-driven data mining

Utilize business intelligence tools

Adaptive IoT networks and ecosystems

Networks of IoT devices are making life easier for many enterprises. They allow companies to remotely monitor and make real-time changes to every required element or parameter of their equipment. The only challenging part consists in integrating mismatched devices from different vendors into the united whole, and that’s where the IoT application firmware (or, platform) steps in.

CyberVision has introduced an open-source IoT application platform, called Kaa, which functions as a middle tier in an IoT network and takes care of messaging across devices, real-time distribution of configuration updates, and event management. Kaa can support virtually any type of endpoint, networking protocol, and data storage.

Edge device management
Edge device management

IoT infrastructure integration
IoT infrastructure integration

IoT application development services
IoT application development services

Machine learning models and algorithms
Machine learning models and algorithms

Edge-to-cloud analytics
Edge-to-cloud analytics