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Accelerators

Innovation

Accelerators

HSC has developed several Solutions (ready to run/white-label) & Accelerators (stable software components that can be integrated into customer products) in different domains and verticals that help our customers reduce time to market

HSC offers the following Accelerators today:

Corporate Learning Management System (C-LMS)

HSC’s Corporate Learning Management System (C-LMS) helps organizations in their goal of making employee learning accessible and engaging with centralized management of the trainings and its content.

HSC’s Decentralized PKI-based Zero-touch IoT Provisioning Accelerator is an innovative solution for provisioning new IoT devices and managing system security.

D-SCOPE accelerator is designed to seamlessly integrate complex orchestration problems across network-connected hosts from the edge to the cloud.

People Insights AI

HSC's advanced People Insights AI system gives customers unparalleled accuracy of people analytics with minimal to no infrastructure requirements

Video & Image Analytics (CIVA)

HSC's Core Image and Video Analytics (CIVA) accelerator makes it very simple to perform advanced classifications/identifications of images and videos from cameras or offline video files. Based on APIs, it abstracts out the details of how analytics are done and offers a very simple mechanism to integrate advanced image and video analytics into the customer's application.

Fleet Management Video Analytics (FIVA)

HSC's Fleet Management Image & Video Analytics (FIVA) is a powerful set of components for custom traffic, video and driver analytics, developed using our Core Image and Video Analytics accelerator. Developed specifically for customers that need fleet/vehicle analytics (such as rental car agencies, taxi/cab services, logistics, etc.), the system comprises of the following key components: Core API layer A powerful API layer that provides simple REST APIs for advanced infraction detections. Cloud Portal A UI that is developed on top of the APIs that provides easy reports Advanced Machine Learning Models A flexible machine learning powered layer that has the ability to chain multiple models to detect advanced outcomes A Few Models implemented: Pedestrian Obstruction Seat-belt less driving Overloaded vehicles Traffic Density Analysis Red light moving violationsDemo TimeDriving Infraction PlatformSample Views Pure CSS LightboxClick the thumbnail below to activate the lightbox

HSC’s Distributed Virtualization Test Framework allows a tester to design his network using GUI based orchestration tool. The GUI based orchestration tool also supports the provisioning of service function chains to define an end to end network service. The framework translates the user provided configuration to OpenStack templates and deploys the network on the infrastructure. The framework supports an easy-to-integrate SDK whose APIs can be called from any proprietary application code base under test.

MQTT Simulator

MQTT (Message Queueing Telemetry Transport) protocol is a widely used transport protocol in the IoT space. HSC’s MQTT Simulator harnesses this protocol to create multiple connections and send message payloads to the IoT service. Not only does it help to handle the payload gracefully but also helps uncover the stability issues before the product or service is introduced in the market.

Publish-Subscribe Framework and SDK

The Pub-Sub Framework and SDK is used to share live data among independent network entities or service endpoints in near-Realtime. This accelerator is well-suited for sharing internal state, counters and similar monitoring points among virtual network functions running in context of VMs or containers. Using an optional SDN controlled, OVS or OVS-DPDK based virtual data bus, this solution promises real-time data sharing in a distributed deployment. Inter-VM Data is shared over OVS bridge or DPDK compliant OVS bridge using the OVS-DPDK provided para-virtualized virtio PMD.

Network Condition Simulator

In today's scenario many networked applications runs on our smartphone. These applications interact with network components over public internet. For some of the applications like video applications, performance and hence the user experience depends upon the performance of the network connectivity.

Big Data Pipeline for Analytics

HSC's Big Data Pipeline for analytics is a high speed distributed architecture that is ideal to use as a core enabler for any system that requires high speed processing and real-time analytics of millions of transactions without data loss. In-fact, some of HSC's solutions, such as OTT Video Delivery, QoE and WiFi Analytics all leverage HSC's Big Data Pipeline.

AI Chatbot framework

HSC's AI Chatbot framework allows a developer to quickly create contextual conversations that use NLP to engage with the end customer. Implemented as a wrapper that can connect to multiple chatbot engines, it allows a product developer to write code in a way that the backend engine can be replaced without affecting the core product.

Mobile Loyalty Framework

HSC's Mobile Loyalty framework is a Ionic based mobile framework that can be used as an accelerator for developing loyalty apps for retail and hospitality verticals.

HSC's WATAF (Web Application Test Automation Framework) and restTF (Web Services Test Automation Framework) makes the process of web automation much easier and seamless than any off the shelf framework.

Test Management Framework (TEMAF)

HSC's Test Management and Automation Framework (TEMAF)is a powerful and versatile test management and execution framework

HSC's Mobile Application Test Automation Framework (MATAF) is a powerful framework to completely automate mobile deployment and testing.

Do you have an upcoming project and want
us to help speed up your time to market?

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