IoT | Building Automation System
Description: This system as a
whole is
used to Manage the devices in a Building. We are responsible for
the PBX device part which includes monitoring , controlling and
updating the device status to the cloud. The system also has other
modules like Digital Signage which depending upon the signal
received form other other modules will trigger that part of signage
display to show display the video feed.
Tools and Technologies:
C++ | MQTT | VC++ | ATL| COM |Windows Service | PBX | Linux | Cloud | IoT
Client: Customer from
Saudi Arabia who is specialized in Building Automation
System.
Remarks: Year 2017 -
Present .
IoT | Fan Controlling System
Description: Developed a
Raspberry PI based Fan Controlling module that can be controlled
from the Cloud and can be used as part of a Hotel automation system.
Our scope of work is first to show a POC concept using a Toy Fan ,
Raspberry PI, GPIO and associated electronic circuitry which can
later be extended with much more sophisticated electronic addon
boards like Gertboard to drive much more powered systems.
Tools and Technologies:
C++, QT C++ , MQTT , Raspberry PI, GPIO, IoT , Cloud , Electronics ,
Gertboard, C#.NET, ASP.NET ,Web Services,
Client: Customer from
India who is specialized in Hospitality Management
System.
Remarks: Year 2018 -
Present
Blockhain | Distributed
Patient Record System Framework
Description: The main idea
behind the system is to develop a blockchain based distributed
patient recording system so that it can be available across the
hospitals to track the treatment that has undergone by the patient
in a particular hospital. The system will be provided with the set
of Web Service APIs as the front end where it can query for patient
information located in the Blockchain based backend system. This
type of systems also have applications in Medical Insurance systems
as well as they can verify the patient records for authenticity.
Tools and Technologies:
C++ | Blockchain | Ethreum | C#.NET | ASP.NET | Web Services
Remarks: Year 2018 -
Present . This is an R&D project work started as part of the
new technology initiative in the company .
FinTipOffers | Location based
Message Alerting Platform
Description: This is one of our
Latest Product initially released in early 2017 which is used
to send alerts | Posh Notifications on the mobile to subscribers
from a specific area.
Tools and Technologies:
C#.NET | ASP.NET| QT C++| XML|SOAP| SignalR | Google API | IoT | Cloud |
Azure IoT Hub
Client: UK KTS Infotech .
AI | KTS FaceTracker | Face Recognition
SDK
Description: Developed a Face
recognition Software development Kit (SDK) that can be
incorporated in various application to develop solutions faster. The
applications basically contains a Web Service APIs by which you can
upload faces of images from any types of devices including Mobile ,
PC , Tablet etc to the cloud and will return the identified faces
Tools and Technologies:
C++, C#.NET , ASP.NET , Web Services, Cloud , AI, Neural networks, Machine
Learning, OpenCV ,
EmguCV , OpenMP | GPU ,
IoT | KTS InfoMate | Digital Signage
Software Infrastructure
Description: This is Our own
Product used to manage and control Digital Signage Devices form a
Centralized Location. The software can be installed locally as well
as in the Cloud and it caters to a wide variety of customers
including Hospitals, schools , Colleges, or any organization which
needs display digital contents and needs to be controlled form a
remote place. The software has several modules including Digital
Signage Player (Runs in Windows | Linux | Android | Raspberry PI ) ,
Management Application and Content Management System (windows) , and
Operator Interface (Windows | Android) , Device Monitoring Module ,
Local Video Display etc. You can get more details form the above
product link
http://infomate.ktsinfotech.com . In short this product has
modules in PC | Web | Mobile | Embedded Platforms and it is
engineered to work in both in the local premises and in the cloud.
Tools and Technologies:
C++ | VC++ | ActiveX| C#.NET | ASP.NET | SignalR | Java | Android |QT C++ |
Raspberry PI | PHP | HTTP | XML | SOAP | Azure | AWS
IoT | XML based Network Management
System Framework for controlling Traffic Video Devices
Description: Developed an XML
based Network Management System for Managing different types of
traffic devices. The devices include video cameras, various
encoders, video wall, video switch, Vehicle Identification Systems
etc.
The network management system uses HTTP/XML as the transport
protocol to exchange control information like pan, tilt, zoom etc to
the cameras. The backend of the system comprises of a number of
windows services, which co-ordinates in a distributed environment to
communicate with different traffic video devices. The system is
designed to accommodate any number of traffic devices using the
hierarchical arrangement of traffic devices with client-server as
well as peer – peer-networking technologies.
The core Framework consists of around 8 Windows services, ActiveX
Video viewer components, Video wall Applications, different encoder
and camera components, different configuration window applications,
device driver components, Linux based encoders, Web services,
ASP.NET based control panel, Vehicle Identification Systems, etc.
The framework uses a pluggable architecture designed specifically to
accommodate any number of traffic devices in the future. Presently
the traffic management system deployed in the filed manages more
than 2000 traffic devices effectively.
Tools and Technologies:
C#.NET ASP.NET 2.0, VS 2005, SQL Server 2005, Web services, Windows
Services, ActiveX, ATL, COM, VC++, Hikvision Encoder Cards, Osprey Encoder
card, Vbrick Encoder, Digital River Encoder card, H 264, MPEG2, MPEG4,WMV,
Device Drivers, Serial Port PTZ Controllers, IP Cameras (Pleco, Bosch, Cohu,
Hikvision) , SNMP, XML, SOAP, HTTP, Neural Networks.
Client: US Based client specialized in Intelligent
Transportation Systems
Remarks: Year 2007 - 2009
| 125 Man Weeks
AI | Vehicle Identification System.
Description: The aim of the
project was to identify the type of vehicles form a video source
located at the traffic video lane. The application used Neural
Network methods like pack propagation algorithm using 2-layer neural
network, to train and identify the set of vehicles from a live video
source.
Tools and Technologies:
VS 2005, VC#.NET , DirectX, Video Source Framework, Neural Network, Back
Propagation Algorithm, Aforge.NET
Client: US Based client
specialized in Intelligent Transportation Systems
IoT | Cloud Based Monitoring System to
Monitor and Control Status of Various Devices
Description: This system was
developed to display status of Various devices and applications
running on Android, Raspberry PI , Desktop in the Cloud.
Tools and Technologies:
C++ | VC++ | QT C++ | C#.NET | ASP.NET | SignalR | Java | Android |
Raspberry PI| PHP | JSON|REST | Windows | Linux| Android | Raspberry PI
Client: UK Based client
specialized in IoT and AI | Biometric applications
Remarks: Year 2010 - 2013
AI | Face Recognition and Facial
Expression System
Description: The aim of this
project was to develop a face recognition and a Facial expression system to monitor the
persons passing by who is enrolled in the system. The system also
identifies new faces and stores in the system automatically. A very
handy tool, which can be used in public places to identify the
persons passing by, thereby helping the authorities to take charge
of the situation accordingly.
Tools and Technologies:
VC#.NET, MDI Window, ASP.NET, AJAX, Mobile Web, Verilook Surveillance SDK,
Neural Networks, Inno Setup. Sun Virtual Box, WindowsXP/ Windows 7.
Client: UK Based Company specialized Video
Surveillance Systems.
Remarks: Year 2010 - 2014
AI | Number Plate Identification
and Parking System
Description: This system was
developed to identify vehicle number plates , verify the number in
the database and then Open the barrier so that vehicles can park in
the vacant slots. The system was deployed in some of the very busy
Airports in the UK.
Tools and Technologies:
C++ | C#.NET | AI | LPR | OCR | Skidata | Avigilon HD Camera
Client: UK Based client
specialized in IoT and AI | Biometric applications
Remarks: Year 2010 - 2013
Description: Developed a Tic -
Tac - Toe game, which can be used to play the game between Human and
Computer. The game uses alpha beta pruning algorithm to generate the
moves in the computer.
Tools and Technologies:
VC++, MFC,GDI, Windows Sockets, MS Access, ADO, Alpha- Beta Pruning.
Client: One of the Popular
College In India
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