Digital Transformation Partner - IOT Data Acquisition, Analytics, AI/ML
Artificial Intelligence & Machine Learning
NLP - Chat Bots
AI-powered bots use natural language processing (NLP) to provide better Customer Experience and a more natural conversational experience. And with the advent of generative AI Technologies — heralding a new era in the development of NLP — Chatbots have become more human-like.
Using Azure and AWS AI tools/services NLP tasks like Conversational AI, Question Answering, Summarisation, Sentiment Analysis, Translation modules can be integrated in enterprise applications. Chatbots can be provided through various channels like WhatsApp, Telegram, Facebook Messenger and other chat applications.
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Visual AI
Image Classification, Object Detection, Image Segmentation algorithms are applied on different images or video streams captured to derive the value from the processes in terms of fault detection, fraud detection, image enhancement, motion analysis, decision support systems in the domains of healthcare, manufacturing, supply Chain etc.
Using Custom models based on Yolo, EfficientNet and other algorithms can be tuned to work on Edge devices to support low memory, low processing AI solutions. The foundation models provided AWS, Azure, Google Cloud services can be leveraged and also OpenCV algorithms can be used for full fledged automation applications based on image processing.
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Machine Learning
Supervised Learning, Unsupervised Learning, Reinforcement Learning algorithms can be used for Classification, Regression, Pattern Recognition and Clustering use cases. Decision Trees, Support Vector Machines, Neural Networks and other latest transformer architectures can be used to train and get high accuracy and durable models for different applications.
Time Series Analysis can be used for predictive models for historical data and Recommendation Systems can be used for item/product recommendations based user activity patterns.
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AIML Tools & Frameworks
IOT, Sensors, Data
IOT Data Platform
IOT Data Platform provides a total echo system for device lifecycle management, device communication, transport protocols like MQTT, COAP, HTTP and application enablement through APIs for various applications like asset tracking, process monitoring for various vertices like Healthcare, Warehousing, Manufacturing logistics etc.
The sensors based on RFID, Bluetooth or other technologies are used along with the readers and gateway infrastructure to provide data required for IOT applications. The platform provides high speed data acquisition with optimized data workloads.
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RFID
RFID can be used to track and control asset and personnel movement. RFID technology contains RFID Tags, RFID Readers and RFID Software to communicate with Application servers.
RFID tags cost less compared to Bluetooth Beacons.
The applications include Assets are Personnel Entry or Exit Tracking, Auditing of assets in warehouses, inpatient tracking in hospitals, Pallet tracking in Warehouses, Smart Packaging, Vehicle Entry/Exit Monitoring, Access Control etc.
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Bluetooth
Bluetooth technology is extensively used in the IOT ecosystem. The low power advantage of Bluetooth beacons with support to accommodate more sensors like temperature, humidity, accelerometer and other sensors, it is extensively used for IOT applications.
Bluetooth beacons with Mesh network technology can be used for triangulating the asset position in Indoor position tracking systems where GPS signals are not available. The infrastructure contains Bluetooth beacons, Gateways/Anchors and the server communication software.
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Web & Mobile Applications
Web Applications
Web Applications have become standard for any company for their services promotion, management of assets, customer interaction, industrial automation and many more tasks. There are many technologies for static and dynamic web technologies.
Java, .Net, Node and other frameworks are used for Backend development and Angular, React and other frameworks are used for UI/UX development. We can host web applications on premise servers or shared hosting servers or cloud computing instances.
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Mobile Applications
Mobile First design has become the trend. We cannot find any customer centric utility application without mobile application provision. For many typical applications where the applications need to be used by people working in the field, mobile application becomes the default mode of accessing services.
Mobile Application can be developed natively using Android or IOS tools or can be developed for different platforms using flutter or QT or other frameworks.
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Cloud Services
AWS, Microsoft Azure and Google Cloud are leaders in the cloud space. One can use their computing instances or managed services for hosting the applications. The pay as you go models, with high availability, less maintenance makes Cloud usage for Web Applications. They are also coming with many services for AI/ML, Analytics, Data preparation, fundamental models.
With Cloud we can achieve scalability easily. Some small players are also there which also cater to the price sensitive market. One needs to configure the cloud services for scalability, security, data protection, reducing the costs of cloud usage.
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