Saankhya Labs is a premier Wireless Communication and Semiconductor chipset company. A highly innovative company with several international patents, Saankhya is the pioneer in Software Defined Radio Chipsets. The company has developed many award-winning next-gen wireless communication solutions based on their patented SDR Technology, in 5G Broadcast, Broadband, Convergence, Satellite Communication and Cognitive Radio Access Networks. Saankhya’s solutions include the world’s first FCC certified IEEE 802.22 TVWS solution for rural broadband connectivity, satellite communication solutions, 5G broadcast solutions, Direct to Mobile TV, Cognitive Radio Access Networks and dis-aggregated RAN solutions based on open architecture. Saankhya Labs can track over 3,000 locomotives through the deployment of mobile satellite service (MSS) terminals on locomotives. Through this, we can get a real time information about the location of the locomotive thereby improving punctuality of trains and increasing efficiency.
Parag Naik is the Co-Founder and CEO, Saankhya Labs. In an interaction with The Tech Pod, Parag talks aboutRemote IoT sensors with AI programming. Read more!
Tell us something about yourself and what does your company do?
As a Co-Founder and CEO of Saankhya Labs, and with over 28 years’ industry experience, it wouldn’t be an exaggeration to say I am a serial entrepreneur. In fact, I have spent 20 years in high technology startups, including Smart Yantra and Vayavya Labs which I founded. I am also named as an inventor on 40+ international patents.
Saankhya Labs is India’s premier wireless communication and semiconductor solutions company. We are India’s first fabless semiconductor solutions company and also developed the world’s first production Software Defined Radio (SDR) chipsets. We have designed and developed a full spectrum of next-gen communication solutions that are powered by our award-winning, patented, ultra-low power consumption, fully programmable SDR chipsets. They include products and solutions for broadband, satellite and broadcast applications, rural broadband connectivity, satellite communication modems for IoT applications and multi-standard DTV modulators and demodulators.
How can 5G broadcast resolve WFH challenges during the lockdown?
Prior to the COVID-19 pandemic, video traffic already occupied more than 70% of the mobile network traffic, thereby straining the network, reducing call quality, and increasing the network cost for mobile operators.
With work-from-home, across every sector, there has been a greater acceleration towards digitization, in order to ensure business continuity. Companies are conducting business virtually, doctors are providing online consultation, educators are conducting online classes, and online grocery shopping is the preferred method of buying essentials. Content has become more personalized and “video binging” has become the preferred source of entertainment with a resulting spike in online video streaming (OTT). This has no doubt led to a greater reliance on mobile and broadband networks, and resulted in a steep rise in the volume of data and content transmitted over broadband networks.
What we now need is technology that will be able to handle the stress on the networks. 5G Broadcast is one such innovative solution, based on a converged Broadband and Broadcast network. It allows multiple devices to access voluminous data simultaneously, via a single broadcast and intelligently directs and routes traffic across the network.
Some of the advantages of 5G Broadcast are
Easing network congestion and improving user experience
Providing a smart data pipe for content; monetizing broadcast spectrum and providing live streaming on- the-go sans data caps
Reducing the burden on OTT by minimizing the unicast streams that need to be created to deliver content to every single device.
Providing a platform to convey emergency alerts directly to mobile phones and other devices using a more efficient Broadcast network
Tell us more about the software-defined radio platform.
Saankhya’s SDR chipsets are Ultra Low Power, Small Footprint Chipsets, with advanced computational capabilities and can be used across a wide spectrum of wireless radio devices.
These SDR chipsets which power our communication products, are based on a multi-core architecture consisting of several Digital Signal Processors (DSPs), designed to handle a variety of wireless communication waveforms.
SDR chipsets enable building of flexible radio transmitter and receivers, supporting multiple standards. Our first SDR chipset, “Pruthvi” supports over 20 waveforms through software changes. The next-gen chipsets based on “Pruthvi 3” architecture enables Direct to Mobile (DTM) TV reception and support 5G broadcast reception on smartphones.
How AI is accelerating the IoT Industry?
IoT, when incorporated with Artificial Intelligence, helps build a smarter network of devices having decision making capabilities with little to no human intervention. This leads to more efficient IoT systems that brings out its full potential.
IoT networks generate huge amount of data because of the sheer number of sensors and devices that are connected. This data is of no use if it is not used for better management of these devices and systems. AI, through machine learning, helps identify useful insights from this data and uses it to take more intelligent and quicker decisions that might save businesses millions of dollars in operating costs.
Remote IoT sensors with AI programming, installed in factories, agricultural fields, solar and wind farms, oil rigs and mines, are enabling better data interpretation. For example, by applying machine learning on a complex set of data from various sensors, an IoT enabled smart factory can provide many insights. These insights can result in forewarning of an impending equipment failure in the factory, and help take corrective measures much before the actual failure occurs, thus avoiding costly downtimes.
Satellite based IoT is used to track trains in India. By combining the tracking of IoT with AI, the Indian Railways can now get deeper insights into the track usage patterns. They can use these to make much more informed decisions in optimizing the usage of tracks which can result in tremendous cost savings to the railways.
How is big data and IoT evolving together?
Big Data is also a very important addition to IoT. It can provide much larger data sets for identifying patterns and learning faster, compared to a limited set of local data that is available for IOT application.
Remote IoT sensors gather large volumes of data and send it to a central command for processing. Big Data analytics platforms analyze this data and find patterns and relations between different parameters which would otherwise not be clear. This helps in better diagnosis and management.
For example, in an agricultural IoT scenario, Big Data, which is gathered from various sources on the internet, in addition to the local sensor network in the field, can provide detailed insights into the soil conditions. The farmer can use these insights, gathered from data from locations with similar soil and environmental properties, to improve his output, as well as quality of produce, which is beneficial to everyone in his supply chain network.