This article discusses the global AI camera market, explores different camera use cases, highlights the innovations in the logistics and transportation industry, and includes recent interview highlights from, Chris Piche, CEO of Smarter AI, a company that has a compelling product platform and ecosystem community vision beyond many of the market incumbent players. In a nutshell, in my late December, 2021 interview with Chris Piche, CEO of Smarter AI, he described his company as "the leader in AI cameras and enablement software. Smarter AI software-defined cameras program AI-like apps on a phone and are supported by AI Store, our ecosystem of AI models and developers, to scale AI camera use cases." The Las Vegas company, with offices in Singapore and in Dubai, has recently secured its Series A financing of over $30M to advance its scale-up enablement needs, and from all early signals, Smarter AI is heading in the right direction. The global smarter camera market, according to BlueWeave Consulting, the market was worth USD $7.4 billion in 2020 and is further projected to reach USD $33.3 billion by the year 2027, growing at a CAGR of 24.0% in the forecast period.

This blog focuses on AI Smarter Camera Intelligence, trends in this … image recognition, machine learning, deep learning, speech and voice …

As schoolchildren and students of all ages will widely confirm after the Covid-19 (Coronavirus) pandemic with the imposition of home-schooling for many, it's harder to learn in a vacuum. It's not impossible, but it's generally agreed that we humans learn better in groups through mutual discovery, intercommunication on problem-solving and through the general process and pursuit of team-based challenges and goals. This, after all, is why we have schools. Could the same need for interconnected cross-fertilization also help computers to'learn' as they build their data-powered Artificial Intelligence (AI) knowledge bases and software-driven analytics engines? More examples of open AI are surfacing all the time.

Because of the corona regulations, special hygiene measures apply. Furthermore, the pupils are not taught in the full class size. As schoolchildren and students of all ages will widely confirm after the Covid-19 (Coronavirus) pandemic with the imposition of home-schooling for many, it's harder to learn in a vacuum. It's not impossible, but it's generally agreed that we humans learn better in groups through mutual discovery, intercommunication on problem-solving and through the general process and pursuit of team-based challenges and goals. This, after all, is why we have schools.

Measuring the intelligence of AI is one of the trickiest but most important questions in the field of computer science. If you can't understand whether the machine you've built is cleverer today than it was yesterday, how do you know you're making progress? At first glance, this might seem like a non-issue. "Obviously AI is getting smarter" is one reply. "Just look at all the money and talent pouring into the field. Look at the milestones, like beating humans at Go, and the applications that were impossible to solve a decade ago that are commonplace today, like image recognition. How is that not progress?"

The role of artificial intelligence or AI in business has progressed from initial sci-fi notions of movie robots and talking doors. In a world where human-machine interface technologies are evolving at quantum speed and one where talking doors are very much a reality, the more imperfect and almost human the next generation of AI can be, the more "perfect" it becomes. We can now use emerging AI tools to deduce whether social media outputs – tweets, Flickr images, Instagram posts and more – are being generated by so-called software bots programmed by malicious hackers or whether they indeed are being made by genuine humans. The central notion here is that computers are still slightly too perfect when they perform any task that mimics human behaviour. Even when programmed to incorporate common misspellings and the idioms of local language, AI is still too flawless.