Internal projects
DSPLab IoT environment
The development of conversational artificial intelligence
(HUMANIPA and PERSIST project)
DSPLab IoT environment hardware platform
Cloud support from Microsoft, IBM, Google, Amazon platforms
DSPLab IoT environment specification
Controllers are the foundation of every smart home – they allow communication between other IoT devices to work together. We make it easy to add IoT embedded systems, such as: sensors, thermostats, door locks, cameras, light regulators, etc. using various Z-Wave, ZigBee, Bluetooth, BLE, Wi-Fi, etc. wireless protocols. Built-in Wi-Fi 802.11ac protocol supports higher bandwidth so that additional Wi-Fi cameras can be connected without compromising the image quality. The controller is the central hub of the DSPLab IoT environment for creating security-oriented scenarios in the IoT environment, as well as advanced and smart decision scenarios in the DSPLab IoT environment. The scenarios allow you to easily and easily customize your Vera controller to work with IoT devices exactly the way you want or want. Cognitive Intelligence in DSPLab IoT.
Development of a local cloud solution for the intelligent DSPLabIoT environment automation. Hass.io is a Docker-based system that manages the Home Assistant platform and other related applications we develop. The platform monitor includes an API for managing the installation of new tools and services. This includes changing network settings or installing and updating software.
PLEX is a client-server media player consisting of two main components. We can install Plex Media Server on Windows, macOS, and Linux systems, including some types of NAS devices used in the DSPLab IoT environment. The server application organizes video and audio data and photos for the DSPLab IoT environment, and allows you to access and play content anywhere. We have clients for mobile devices, smart TVs and other streaming devices, a web application, and many other options.
The IoT Hub is a gateway for data to the Microsoft Azure portal. Data can be exchanged with the IoT Hub via MQTT. Microsoft Azure Cloud is one of the leading cloud environments. The Azure portal provides many connectable services. Cloud applications can thus be created by linking end components. One of these components is the IoT Hub, which serves as the most important two-way connector for external data sources and IoT devices in the DSPLab IoT environment. Using the DSPLab IoT cognitive environment, and RPI gateway, the IoT Hub and thus the Microsoft Azure cloud can connect to store data as well as retrieve data from the cloud for the local use of the DSPLab IoT system. The connection to the IoT Hub is realized with the MQTT client.
Kodi is software used in DSPLab IoT to play movies, TV shows, music and photos. Kodi is a useful support for many file types and provides compatibility with many different devices. There are several devices in DSPLab that have Kodi installed, as free software is available for Windows, macOS, Linux, Android, iOS, Raspberry Pi (RPi), etc. In the DSPLab environment, KODI players access content on the PLEX server. Kodi is the ideal interface for content playback and for devices connected to projectors or speakers. The menus also include many personalization and configuration options.
ReSpeaker Core v2.0 Seeed is used in DSPLab IoT for applications that develop within the dialog interfaces (CI and CA). It is based on the Rockchip RK3229, a 1.5GHz quad-core ARM Cortex A7 processor with 1GB of RAM. Six microphones with acoustic algorithms are installed on the platform, including DoA (direction of arrival), BF (beamforming), AEC (acoustic echo cancellation), etc. ReSpeaker Core v2.0 is powered by GNU/Linux (Debian). ReSpeaker Core v2.0 is designed as a development system. To this end, it consists of two main assemblies, the first being a central core module containing a CPU, memory (RAM) and a PMU. The second part is an external assembly containing peripherals such as eMMCs, connectors and wireless components.
The Jetson TX2 is the fastest, most powerful embedded AI system available. It is a 7.5 watt supercomputer that enables the realization of AI solutions on the edge of (edge) IoT environments. Built around the NVIDIA Pascal™ GPU family, it includes 8 GB of memory and 59.7GB/s of memory bandwidth. It is distinguished by several standardized hardware peripherals that allow for easy integration into various systems and IoT environments. In DSPLab IoT, it performs real-time processing of video streams from IP cameras in the environment.
Activities
First design of the platform for national project HUMANIPA
The architecture of the platform for HUMANIPA national project
Project group