INTEGRA SOURCES

Wi-Fi to the backend server and displayed in the hospital staff console. The 360 mAh battery provides super-low power consumption. The technical challenge in this project was receiving the data from the weigh scale, and we successfully overcame this as well.

Technologies:

- NRF52832 ​ with ​ BLE 4.0​ and Cortex-M4​ core

- The device has a ​ button​ , ​ vibration motor, ​ and 2 ​ LEDs

- Internal ​ 360 mAh Li-ion rechargeable battery​

- CC3100 ​ IC for WiFi networking

- Altium Designer ​ IDE

- C/C++

- Eclipse IDE,​ ​ GCC ​ compiler and ​ OpenOCD​

for their ECG wearable device. They also needed to create an application that could provide data visualization capabilities for further heart rate research.

Integra Sources provided firmware development so the ECG device could perform its function: record the data from all its sensors and send this data to mobile phones via Bluetooth where it is displayed in real time.

We also provided Android mobile application development for our client.

Technologies used:

- nRF51​

- Cortex-M0​ core

- RTOS

- C/C++

- Microsoft VS

- MIC, ECG​ , ​accelerometer, thermometer sensors

mass-market full-size guitars, including bass guitars.

As a result, we improved Fret Zealot into a long, thin vertical strip in the shape of an oversized comb. It can slip between the guitar's neck and strings without interfering with the user's ability to play. Fret Zealot lets the players learn quickly and intuitively. After a user plays a note or a chord, the app detects the sound and the strip lights up showing them where to put their fingers next.

Technologies used:

- EAGLE CAD ​IDE

- RGB​ ​ LEDs

- ATTiny20 MCUs - a connector on the Flexible PCB

are installed around the area being monitored. Each signal has a different power depending on the distance of the beacon to the gateway device. When the gateway device captures a signal, it transfers its identifier via WiFi, so we know where exactly under the ground the gateway device is located at any given moment.

On the surface, the gateway device uses GPS, WiFi, and 3G to locate signals.

Technologies used:

- nRF52832​ with ​ BLE 5.0​ and ​ Cortex-M4F​ core

- FreeRTOS - Microsoft Visual Studio

- SIM5360 module for 3G & Wi-Fi

- Altium Designer

- C/C++ programming

applications and implemented asynchronous techniques on the server which resulted in eliminating delays. Now the user apps receive data from the IoT devices in real time.

Technologies used:

- QT framework ​ was used for cross-platform Windows, Linux, iOS, Android GUI applications.

- Tornado web framework ​ was used for backend development

- AngularJS framework ​ was used​ ​ for frontend development (web interface).

- C/C++ ​ language​ ​ was used for firmware development (IoT devices)

seconds.

Technologies used:

- BlueNRG ​ and ​ BlueNRG-MS​ with ​ BLE 4.0 and BLE 4.1​ support as MCU was used in this project.

- FreeRTOS ​ was used for firmware development.

- The firmware was implemented using ​ C/C++​ .

- CrossWorks Studio ​ IDE was used for firmware implementation.

- To debug low-level ​ BLE ​ communication with ​ iOS ​ we used special ​ BLE sniffer​ hardware and parse data in ​ Wireshark​ .

customization in the advertising packet – the layer that handles connectivity tasks.

- Gatt-service and characteristic modifications – through the Gatt-service a user can change beacon system settings and IDs.

- Optimization of energy consumption – we increased the battery life by 30%. Our team also developed a BLE gateway device based on Raspberry.

Technologies used:

- EM6819​ , ​ NRF51822 ​ and ​ NRF52832​ MCUs

- C/C++ programming

- Java language

- Keil, IAR, EM Studio IDEs​ were used for firmware implementation.

- Eclipse IDE for software implementation

sum of the purchase but also line-items or detailed data about the merchandise included in an invoice.

To get higher OCR accuracy we trained the image processing library which was the most challenging part of the project.

Technologies used:

- REST API for the interaction between mobile applications and the Cloud ​

- OpenCV ​ library​ ​for deskewing, removing scanning artifacts and noise, and binarization.

- Java ​ language was used for ​ Android ​ app​ ​ development.

- Objective-C ​ language was used for ​ iOS ​ app​ ​ development

parameters, and a file for keyboard layouts for controlling the language that the keyboard is set up for. There is also a small internal battery inside, so the time of the keystrokes is kept accurate even when the host PC is turned off.

Also, the device has a timestamp saving feature, a real-time clock, and text encryption.

Technologies used:

- AVR MCU AT90USB162​ (later ​ ATmega32U2​ ) and ​ EPM3064 CPLD

- CPLD ​ firmware on ​ AHDL ​ using ​ MAX+PLUS IDE

- Embedded C ​ using ​ AVR Studio IDE

- Assembler language for MCU

- EAGLE CAD ​ IDE was used for ​ Schematics

equipped with algorithms and sensors – camera, accelerometer, gyroscope – that allow the robot to map the area it's about to work on. It's also equipped with a charger and a Wi-Fi and 3G module.

To set up the area of operation, you just need to walk around the lawn with the robot so it remembers where to work.

After that, it is ready to cut the lawn’s grass 24/7 and will charge itself when it runs out of battery.

Technologies used:

- STM32F4 with​ Cortex-M4 ​ core​

- RTOS

- Microsoft Visual Studio

- CMOS sensor​

- WiFi and 3G connection

- C/C++

- Altium Designer

- IMU

appliances via a dashboard displayed on the web or mobile user interfaces.

With these data at hand, homeowners can discover how to reduce their energy consumption. The system was going to support up to 5000 new users per year and we needed to make it possible for the solution to manage this increased data flow.

Our client received the solution in a timely manner with all the required features.

Technologies used:

- Python

- Raspberry Pi

- PyCharm

- Python AWS SDK

- Android Studio​

- XCode

- The ​ AWS mobile SDK for Android and iOS

solution that enables persistent background location tracking of mobile devices through the use of a tracking system.

Software developers can create and manage their Beacon zones and geofences through a web interface. They can assign triggers for each zone (e.g. entry, exit, dwell, a certain distance from Beacon) and push messages and actions to user devices when they enter a predetermined area.

Technologies used:

- iOS & Android Libraries

- Java - Objective C

- iOS SDK

- Android Beacon Library

- GEOS framework

- JTS Topology Suite

- CoreLocation Framework - Retrofit

system that we helped to create allows school administrators to:

- Add and delete students

- Create courses and tasks

- Track task progress

- View the history of changes And it makes it easy for students to do their tasks and execute code on the robot (thanks to the integration with the cloud OTA).

Technologies used:

- Python programming

- Google Blockly for the visual programming

- C/C++ programming

- cloud-based OTA using WiFi

- AWS with Docker

- Raspberry Pi - custom Linux

works:

1. A student writes Python code for the robot to execute using the Blockly framework.

2. After the student clicks play, the code they wrote is sent to the OTA system's server via a Wi-Fi network.

3. From there the server delivers the code to the robot assigned to this student.

4. The robot executes the programmed action (eg. it can drive, shoot, slither, walk, slam, and spin).

5. The robot sends the status update back to the cloud.

6. This information is delivered to the instructor. Each robot has a unique number to make it easier for the instructor to check the results.

application without any typing.

We implemented custom firmware development for Makeblock MeAuriga which allows users to run commands via Bluetooth dongle from a Chrome browser using a special plugin.

As a result, DaVinci Labs' students can compose programs using Google's Blockly framework that mixes visual and text programming and execute them on the robot.

Technologies used:

- Python programming

- Google Blockly for the visual programming

- C/C++ programming

- cloud-based OTA using WiFi

- AWS with Docker

- Raspberry Pi

- custom Linux

cameras.

- Artificial vision algorithms to recognize human postures and detect if a person has fallen

- A communication system that sends an alarm message to caregivers along with a picture once a fall is detected.

Technologies used:

- C++ programming in combination with ​ OpenCV ​ library

- JeVois ​ smart machine vision camera - Intel RealSense​ and ​ Orbbec Astra depth cameras

- Nuitracl ​ library

- BodyTracking ​ algorithms

- Banana Pi​ Media Board Computer as an ​ RTSP ​ server

- live555 ​ library

- Qt Framework​

7-inch touchscreen, NFC module to control access to the system, and a radio frequency (RF) module for integrating the tablet into the IoT ecosystem.

We also provided software development for a custom Linux build and driver development for different modules of the system.

With this device, users have the flexibility to monitor and control their home’s temperature, locks, lights, and other items.

Technologies used:

- Allwinner A20 SoC ​ with 2 ​ ARM ​ cores

- custom Linux image

- WiFi ​ module

- Ethernet connection

- C/C++

- Qt

- NFC reader

- EAGLE CAD

- Flexible PCB

to play.

The quadcopter we created is 10x10 centimeters in size.

We reduced the power consumption and enabled the drone to communicate with PS2 gamepads or wireless gamepads that people normally have at home. This was a good idea because otherwise, consumers would have to buy joysticks and RC transmitters specifically to be able to control their drones.

Technologies used:

- ATXmega ​ MCU with​ AVR ​ core​

- Altium Designer ​ IDE

- C/C++ programming

- AVR Studio IDE

- Ardupilot

- Gyroscope​ , ​ accelerometer​ , ​ RF module​ , and motors - Sony PS joystick

were hired to port the app from Python to C++ and improve the quality of the computer vision algorithms.

We significantly improved the algorithms for image processing and recognition: up to 80 % diagnostic accuracy, data processing time is less than 0.1 seconds

How it works:

1. A user puts a special lens on their smartphone camera and takes a picture of the mole with the SkinView iOS application.

2. The application analyzes the mole and tells the user whether it is malignant or not.

3. The images with suspected skin cancer are sent to a specialist for diagnosis.

Technologies used: 

- Python language in combination with the scikit-image library has been used for receiving PoC .

- C++ language in a compartment with OpenCV library has been used for algorithms converting
from Python language.
- Objective-C has been used for iOS mobile application development.
- Algorithms developed with the help of C++ have been wrapped by Objective-C and integrated
into the iOS mobile application.

(eg. an iron) is equipped with sensors such as temperature sensor, voltmeter, and amperemeter.

2. The relay switches on the iron.

3. The single board computer starts collecting the data from sensors and recording them to the database. The iron is turned on and off for about 10 seconds within a period of 8-10 hours.

4. The testing results such as voltage, current, and temperature are displayed in the form of graphs in the web interface.

Technologies used:

- Quad-core SBC

- Custom Linux image

- ZeroMQ library

- C/C++

- HTML, CSS and JavaScript for GUI

- PHP for the backend

video files of different formats on Raspberry PI. We used Java to build the player.

The video player provides the following functions: downloading video files from the server, checking data integrity, VLC player control, and VLC optimization for the hardware.

We added WiFi Protected Access (WPA) security protocols to protect the video player from vulnerabilities.

Technologies used:

- Java programming

- WiFi connection for networking

- Raspberry Pi​ was used for the hardware part of this project

- The application uses ​ REST ​ and ​ JSON ​ to communicate with the server.

being maintained. The variometer indicates the climb/sink rate using beeping tones without any time lag. It has a set of sensors including accelerometer, gyroscope, temperature, GPS, and barometer.

It informs the pilot about altitude changes, tracks their position via GPS and stores detailed data about the flight on an SD card. When the flight is over, a pilot can transfer the data using Bluetooth to their smartphone or tablet.

Technologies used:

- STM32F4 ​ series MCU with​ Cortex-M4 ​ core​

- RTOS

- C/C++

- Eclipse IDE

- EAGLE CAD

- GPS, accelerometer, gyroscope

do to enable broadcast to multiple channels simultaneously is connect a driver, configure settings and then you can add up to 10 video sources to your live stream.

Technologies used:

- C/C++ programming

- Microsoft Visual Studio

- Windows Driver Kit​ (​ WDK​ )

has USB 5V output and can charge tablets or phones when powered from an external power supply.

We used nRF51822 BLE SoC to provide high working range and low power consumption. He ran a successful campaign on Kickstarter and got positive feedback from influencers who tested the product. The device is currently in mass production and we're discussing a new version of the device with our client.

Technologies used:

- nRF51822​ with ​ BLE 4.0

- Cortex-M0​ core

- internal ​ 9V battery​

- USB-A connector

- RTOS

- KiCad ​ IDE

- Microsoft Visual Studio

- C/C++ programming

ready-to-use quadcopters rather than building DIY drones from scratch.

The circuit board for the Drone Autopilot has a three-axis accelerometer, a three-axis gyroscope, a pressure sensor and GPS on board. It has up to six radio control inputs to receive control from the radio control receiver and up to six radio control outputs to control motors and/or servos. The board has four external serial interfaces to connect extra modules.

Technologies used:

- ATXmega ​MCU with​ AVR ​ core​

- Altium Designer ​

- C/C++ programming

- GPS​ , ​accelerometer​ , ​gyroscope,​ ​barometer

apps.

The solution represents a DIY tablet that children can assemble by following instructions. The operating system comes with applications which are grouped into fun “planets” (Art planet, Media planet, Game planet, Code planet, App planet, Web planet). One of the apps that our software development team created teaches kids how to code by creating modifications in their world of Minecraft. And the other one allows them to compose digital music.

Technologies used:

- Debian

- Qt framework

- JavaScript language

- DSI

- LVDS converter

- STM32 MCU

- C++ programming

that enables real-time video streaming via a mobile application.

The main purpose of the camera is to watch if a pet is playing nicely while the owner is away. The pet owners can watch, talk to, and play with their pets using a mobile app.

Technologies used:

- Allwinner A20 SoC ​ with 2​ ARM ​ cores as CPU

- Custom Linux image

- CMOS sensor​ (camera) with ​ CSI ​ bus

- H.264 hardware codec​ for video encoding

- Streaming ​ 1080p ​ at ​ 30fps H.264​ encoded video

- Onboard ​ WiFi ​ module - C/C++​ languages

- Altium Designer

Answer an incoming call

- Detect frequency-shift keying (FSK) modulation with caller ID information during an incoming call - Catchline voice/tone signal for DTMF decoding and speech recording - Play voice/tone to a phone line

- Ring to a user phone (sine signal 35V RMS)

- Detect the picking up of a phone by a user

- Transmit caller ID to a user phone while ringing

- Make an outgoing call Technologies:

- STM32F415 ​ with​ Cortex-M4 ​ core​

- FreeRTOS - C/C++ languages

- Wiznet W5500​ chip

- Altium Designer ​IDE

- Microsoft Visual Studio​

- FSK ​ demodulator IC - ADC/DAC