Articles and Thoughts

A container terminal
Deep Learning has provided a major boost to computer vision’s already rapidly expanding reach. A lot of new applications of computer vision technologies have been implemented with Deep Learning and are now becoming a part of our daily lives.
Tightening security by accelerating updates for security bugs and features has become one of the prime necessities of the connected world. The faster you roll out updates, the better these vulnerabilities can be plugged in. The intent is to create media frameworks which are extensible; partners can continue to extend media codecs and media format …

Android Codec 2.0: Developing Multimedia Applications for newer Android Platforms Read More »

A drone over railway track
Remember your first train ride? Depending on where in the world you grew up and when the memory differs. Mine is from the 1970s in India: a trip back to my ancestral home in Kerala. From the minute the engine blows its resoundingly loud whistle, there’s magic in the air...
A masked women sweeping the floor
As people around the world prepare to get back to work in the new normal, workplaces are leveraging cutting-edge tech-driven solutions to ensure safety standards for all. AI-driven computer vision systems are being deployed by companies to enforce and monitor social distancing, detecting violations of face masks and safety jackets on their premises. As governments …

AI-driven Face Mask and Attire Detection for the new normal Read More »

Internet Of Things (IoT) is arguably one of the most important technologies of this century. It is driving us to a rapidly digitized world. The hype around IoT has been around for some time, and a common phrase that one often hears was, “We will have 1 billion connected devices.” This was flying around during the 2013-2015 …

Secure OTA – Advanced Security for the IoT World Read More »

The benefits of Batch Normalization in training are well known for the reduction of internal covariate shift and hence optimizing the training to converge faster. This article tries to bring in a different perspective, where the quantization loss is recovered with the help of Batch Normalization layer, thus retaining the accuracy of the model. The article also gives a simplified implementation of Batch Normalization to reduce the load on edge devices which generally will have constraints on computation of neural network models.
A Train
Artificial Intelligence (AI) is not a new field; researchers have been working with AI since the 1950s. Today, AI is helping to make all modes of transportation safer and more efficient by identifying potential risks, tracking vehicles or monitoring traffic lights to improve safety. For decades, railways around the world have suffered from lack of …

AI-based Rail Corridor Monitoring Read More »

Industry 4.0
Since the Industrial Revolution, industries have been looking at key parameters like productivity, quality assurance and cost reduction and ways of improving them.  From production lines pioneered by Henry Ford in 1913 to just-in-time manufacturing techniques evolved at Japanese plants like Toyota to the state-of-the-art automated robotics-based production lines in Western Europe, industries have undergone …

How Traditional Industries are Embracing AI Technologies Read More »

Among all market segments addressed by the integrated circuit (IC) industry, Industrial is probably the most diverse with applications ranging from plant automation, power conversion (including conventional and alternative), remote monitoring, robotics, security, battery management, man machine interfaces (MMI), general sense & actuation etc. Add to this the natural adjacency to automotive and medical, and …

Industrial IC design: Functional Safety and Smart Embedded Processing Read More »

Artificial Intelligence has been assuming significance beyond academic debates in the past couple of years. Google and Facebook claims that they now have face recognition systems based on AI that can beat humans at the task.
IoT seems to have crossed its Hype Cycle peak somewhere in 2016 and is well heading into the Troughs of Despair. The ubiquitous IoT device still remains the mobile phone with people preferring to use more of the integrated sensors in mobiles rather than discrete sensors.