Hqsoftware

IoT: Automatic Leak Prevention System

Highlights Water supply monitoring and leak detection; Automatic leak prevention; Multiple location system setup; Shared system access. Technologies Used: MVVM(RIB), AVFoundation, Combine, Swift, CocoaAsyncSocket, Network(UDP), UIKit Methodology: Agile Results In collaboration with HQSoftware developers, Elexa has built an iOS application that allows users to monitor possible leaks in water pipes. The solution will improve the customers’ smart home experience by providing more complete control over home appliances. Solution The system is based on two major elements: a hardware solution and a software system to support it.   Functionality The HQSoftware team was tasked with developing an iOS application to monitor the hardware system and keep track of the water supply. The application is available for both iOS and Android; both versions have the same number of features: Hardware remote control. Through the app, the user can control the valve control to turn the water supply on and off. The user also can check the status of the system to make sure that everything is working as intended; Status notifications. The user receives notifications when a water leak occurs and the valve controller shuts the water off; Multiple location setups. One app can control several valve controller+leak detector setups in several locations, such as homes, rentals, or vacation houses; System sharing. Users can provide access to the system to family, friends, and neighbors so they can keep an eye out for emergencies. Read More

The system is being developed for the leading provider of audit services for pension funds in Australia performing nearly 10,000 audits per year. Technologies used: C#, JavaScript, T-SQL, ASP.NET MVC, ASP.NET Web API, Knockout.js, Entity Framework, SSRS, Microsoft Dynamics CRM, iTextSharp library, SQL Server, Microsoft SharePoint. Read More

Teaming up with HQSoftware, the client developed a software solution for effective VR training with an abundance of simulations. The software provides training simulations in a variety of fields such as engineering, mechanics, and cooking. The main goal of the software is occupational training, meaning that it helps users learn new skills to acquire new jobs. Main functionality delivered: Animated and voiced VR instructional simulations Immersive training for complex skills Trainee scoring and awards system Read More

A solution that allows for capturing video from cameras and reformatting the stream into web-friendly formats that can be embedded in web pages. The software is also capable of analyzing the video to recognize various objects, such as moving cars, pedestrians, or license plates.Technologies Used: AWS, FFmpeg, Python, React.js, Node.js, RTSP Read More

An augmented reality–based content engine called PICTOFiT, that allows converting pieces of clothes into vivid 2D & 3D assets for a virtual try-on. The product was designed to help retail businesses to increase sales and reduce return rates through driving consumer engagement.Technologies Used: Objective-C, OkHttp, Apollo, ARKit, Retrofit, CoreMotion, Swift, Kotlin Coroutines, MLKit, Java, Kotlin, AVFoundation, ThreadExecutor, Realm Read More

A sensor-based IoT solution that monitors the health status of the environment inside a house. A cloud-based backend gathers and stores data for further processing while a mobile application allows checking the health status of the house on the go. HIGHLIGHTS Air condition monitoring and scoring across eight parameters Visualized historical data of how the air condition changed over time Machine learning-based predictions and recommendations Technologies used: Java, React Native, PostgreSQL, Apache Kafka, openHAB, DeviceHive, Espressif ESP32 module Read More: https://hqsoftwarelab.com/cases/36-iot-a-sensor-based-solution-to-monitor-the-air-health-status-of-a-smart-home Read More

HQSoftware is developing a powerful AR platform that allows launching interactive markerless and marker-based campaigns. Users can design complex AR experiences with no advanced technical skills required, put them into AR campaigns, configure and launch them. See more at: https://hqsoftwarelab.com/portfolio/ar-vr-developing-augmented-reality-platform-marketers-creatives/ Read More

It is a native Android app that extends core offering of the customer– a European company which develops complex, customizable systems for managing various connected devices in a smart building or on a smart yacht. HQSoftware’s IoT experts pulled together to take up this challenge, which also included working with the customer’s proprietary protocol in remoteness from the real devices, bringing a degree of uncertainty to the development process.  HIGHLIGHTS A native IoT mobile app for automated management of connected devices in a building or on a yacht An intuitive, highly customizable user interface allowing to control lighting, climate, video surveillance, energy consumption and more Read more: https://hqsoftwarelab.com/cases/24-iot-mobile-app-for-smart-buildings-and-yachts-management Read More

The goal of the project was to create a system that would allow those traveling on medium-haul flights to enjoy live TV programs, video on demand (VOD), hotel booking, car reservations, weather forecasts and many more – on board a plane, at the airport and in the city. The solution enables the BYOD approach, where users can connect to the customer’s Wi-Fi spots located on board, at the airport and in the place of destination with their own devices running either on iOS or Android.  HIGHLIGHTS Based on the customer’s proprietary Wi-Fi network Providing licensed media content, including live TV Serving as an ad-publishing platform for advertisers An integrated, multifunctional entertainment application for those traveling on medium-haul flights Available to users before, during and after the flight both on mobile and on the web Read more: https://hqsoftwarelab.com/cases/18-entertainment-application-for-air-travelers-on-and-off-board Read More

HQSoftware developed a system for managing a network of connected smart sensors that would collect, process and measure a wealth of data from vehicles and vehicle components under simulated road-driving conditions. The project team was challenged to create a multisensor environment with limited CPU and RAM resources while staying compliant with the industry’s high testing standards. HIGHLIGHTS Data collection from a range of smart sensors installed in a vehicle test lab. Data processing and visualization on devices and on the cloud server. Development for a limited-resource environment (i.e. devices with low CPU and RAM resources). Read more: https://hqsoftwarelab.com/cases/25-iot-multisensor-network-management-solution-for-automotive-manufacturers Read More