INTELLIGENT INTERNET OF ANYTHING
IDC: IoT market to hit $7.1 trillion by 2020
GE: $10 to 15 trillion increase in global GDP over the next 20 years, thanks to gains in productivity
Gartner: $1.9 trillion of cost savings and improved productivity
Gartner: $309 billion in additional revenue for suppliers of connected devices by 2020
Cisco: 50 billion devices connected to the internet by 2020
Industrial Internet of Things
Adopt smart devices in your industry and connect sensors locally and globally to CLOUD. Build new business models and revenue streams by offering new services using data collected from business, manufacturing and connected devices. Provide better services to your customers through elegant solutions using mobile or web:
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Remote monitoring of business and manufacturing operations using smart device data
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Get notification and alarms on abnormal operating conditions from anywhere; Control devices remotely if needed
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Perform predictive analysis to reduce unplanned downtime, schedule maintenance and improve OEE
Machine Learning
Discover hidden patterns and relationships using modern machine learning. Optimize various aspects of your business and manufacturing based on these findings. Our team can help you explore and build solutions to establish an enhanced ROI model.
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Strategize on the data requirements for supervised and unsupervised learning
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Determine relative importance of various data
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Compare various machine learning algorithms to determine the best candidate
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Create actionable predictions based on predictive analysis
Computer Vision
In combination with Machine Learning techniques, 2-D and 3-D Computer Vision offers a wide array of use cases:
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Automate visual inspection process of industrial products for quality control
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Detect surface defects online, generate early alarm and perform trend analysis to reduce waste and improve yield
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Read serial numbers and codes of products online for further processing and tracking; Determine , track & measure dimensions of objects on a plane or 3-D
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Use Robot Eye to locate parts for yard and inventory management
Predictive Analysis
Leverage real-time data and analytics to drive smarter, faster and more accurate decisions for your business. Use data harmonization, visual storytelling dashboards and predictive forecasting models to make your business forecasting decisions smarter. Harness powerful statistical algorithms to get notified of upcoming issues long before they become actual issues.
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Predict machine behavior to improve product yield and quality.
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Predict Inventory and manage resources
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Predict item stock pattern based on customer behavior and seasonal variations to maximize profit
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Analyze product based customer order patterns, predict future demand to facilitate manufacturing and distribution
Augmented Reality
Using AR based applications on AR based devices, engineering design problems, workplace enablers, as well as commercial and marketing initiatives can be addressed.
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Visualize engineering design, assemble and disassemble process of machines/parts/ workpiece
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Enable maintenance engineers with equipment details, maintenance schedule, maintenance process, and observation logging at site
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Create virtual showcase for customers to view products in 360-degrees and try out best-fit combinations prior to purchase
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Have a feel for the product in virtual world even before the product is launched
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Leverage existing platforms from Intel® RealSense™ to Project Tango™ by Google®
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Capture virtual world data and translate them into real-world data
Embedded & Networking
With more than a decade of deep engagement in embedded systems, communication protocols, networking and system software solutions, we offer a vast range of expertise in embedded & networking areas:
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BSPs and firmware on all major hardware architectures across the world
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Device drivers and kernel hacks from performance tuning to full-fledged multi-tiered implementations
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RTOS and lightweight network stacks able to handle stringent responsiveness, stability and performance requirements
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Develop solutions for IoT communication protocols such as MQTT, CoAP and 6LowPAN, using Open Source components or custom-built modules to fit into devices on the edge