Computer vision is a field of artificial intelligence (AI) that involves the use of algorithms to enable machines to interpret and understand images or videos from the real world.
With computer vision, machines can not only see but also understand the world around them like never before. It’s incredible how this technology has made it possible for AI systems to recognise faces, objects, and even emotions! And it doesn’t stop there! From healthcare to agriculture, computer vision is revolutionising the way we approach complex problems. With its integration with IoT, the possibilities are endless!
But why is this integration so critical? The answer is simple: accuracy. With computer vision, we can eliminate human error and ensure that the decisions we make are based on reliable data.
IoT meets computer vision for a wide range of applications
The integration of AI and Internet of Things (IoT) has opened up new avenues for the application of computer vision in a range of industries and use cases.
Intelligent spaces: One of the primary applications of computer vision in the context of AI and IoT is in the field of smart homes and buildings. With the integration of sensors and cameras, buildings can be equipped with systems that monitor and analyse data such as temperature, light, and occupancy. This information can be used to automate various processes such as adjusting the temperature or turning off lights when a room is unoccupied.
Denne historien er fra September 2023-utgaven av Open Source For You.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent ? Logg på
Denne historien er fra September 2023-utgaven av Open Source For You.
Start din 7-dagers gratis prøveperiode på Magzter GOLD for å få tilgang til tusenvis av utvalgte premiumhistorier og 9000+ magasiner og aviser.
Allerede abonnent? Logg på
Helgrind: Detecting Synchronisation Issues in Multithreaded Programs
Let's explore how Helgrind can be used to detect and debug multithreading issues with the help of a multithreaded C program.
The Perfect Process of Booting a PC
Booting a PC seems as simple as eating a cake. But are you aware of all that goes on behind-the-scenes to bake a delicious cake or seamlessly boot a PC?
Exploring eBPF and its Integration with Kubernetes
eBPF, a game-changing technology that extends the capabilities of the Linux kernel, offers significant advantages for Kubernetes networking. It also greatly improves Kubernetes observability by capturing detailed telemetry data directly from the kernel. Read on to find out how its integration with Kubernetes has immense benefits.
Deploying Generative AI LLMs on Docker
Built on massive datasets, large language models or LLMS are closely associated with generative Al. Integrating these models with Docker has quite a few advantages.
Containerisation: The Cornerstone of Multi-Cloud and Hybrid Cloud Success
Open source containerisation software provides the flexibility, cost-effectiveness, and community support needed to build and manage complex multi-cloud and hybrid cloud environments. By leveraging this software, businesses can unlock the full potential of multicloud and hybrid cloud architectures while minimising vendor lock-in risks.
From Virtual Machines to Docker Containers: The Evolution of Software Development
Containerisation and Kubernetes have eased software development, making it faster and better. Let's see where these are headed, looking at trends that are making life easier for developers.
India's Leap in Supercomputing: Innovating for Tomorrow
As India strides towards self-sufficiency in supercomputing, embracing this evolution isn't just an option-it is pivotal for global competitiveness and technological leadership.
SageMath: A Quick Introduction to Cybersecurity
In the previous articles in this SageMath series, we delved into graph theory and explored its applications using SageMath. In this seventh article in the series, it is time to shift our focus to another crucial subfield of computer science: cybersecurity and cryptography.
Efficient Prompt Engineering: Getting the Right Answers
OpenAl's GPT-3 and GPT-4 are powerful tools that can generate human-like text, answer questions, and provide insights. However, the quality of these outputs depends heavily on how you frame the input, or prompt. Efficient prompt engineering ensures you get the right answers by designing inputs that guide the AI towards relevant, clear, and useful responses. Let's find out how to craft effective prompts with examples.
Analysing Linus Torvald's Critique of Docker
This article looks at Docker's security flaws, particularly its shared-kernel model, and contrasts it with traditional VMs for better isolation. It discusses Linus Torvalds' concerns, explores mitigation techniques, and proposes a roadmap for building a more secure containerisation platform using hardware-assisted virtualisation, true isolation, and a robust orchestration layer.
