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Everything you need to know about the best cloud camera solutions in 2021

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best cloud camera solutions in 2021

Cloud-based surveillance cameras have changed the way security systems work in the real world by reducing costs, eliminating the need for manpower, and eliminating the need for continuous hardware maintenance.

Installers must activate cameras, deploy storage servers, and manually install operating software in the security system in a conventional camera installation service with DVR systems. However, with cloud-based security camera systems for business surveillance, little or no upfront work is required because all that is required is a bridge appliance to link the device to the cloud. Both devices are autoconfigured once the bridge is attached, and the system transfers all data directly to the cloud, eliminating the need to store footage on-site.

Benefits of cloud surveillance

One of the best attributes of cloud cameras is how simple they are to set up, particularly for those with no prior technical knowledge. Cloud cameras are now designed to be small, inexpensive, and readily accessible. Plus, they usually take less than 5 minutes to set up.

Since it is cloud-based, it provides the same user experience as watching videos on YouTube or listening to music on Spotify, which you can access from anywhere and at any time. Similar things can be done with local, IP-based cameras and an NVR or camera software like Blue Iris, but it will take some effort to set up and protect them.

  1. Forestall crime
  2. Setup is easy, and you can access it from anywhere.
  3. Improved system software and automatic updates
  4. Automatic fixing of security vulnerabilities
  5. There’s no need to worry about purchasing and maintaining additional hardware and software to capture camera footage.
  6. Securing all staff and the company
  7. Improve customer experience and security

5 Needs a cloud-based security camera?

  • It helps you to see what’s going on in real-time and go back and check it later. When you need to know who is drinking your milk at work, cloud storage comes in handy.
  • When there is an issue, you can quickly notice notifications on your smartphone.
  • The majority of cloud camera systems use bank-level security protocols and have much better IT security than local systems.
  • Due to software upgrades, cloud-based systems have the benefit of operating at peak performance all of the time. The limited device maintenance would undoubtedly be appreciated by IT help.
  • It’s easy to use. There’s no hardwiring, retrofitting, or grease involved. That’s what there is to it.
  • Maintaining hard storage devices necessitates a robust IT infrastructure and a significant amount of time, while the cloud system does not necessitate manual checks. All of this is handled by remote health checks and updates delivered directly by the cloud service provider, and the user is notified via SMS or email. There are fewer chances of storage failures due to the small number of physical components
  • For uploading data to the cloud, you’ll need a secure and high-bandwidth broadband link. The recorder must continually transfer the footage to the cloud, and any interruption in the link can trigger choppy video. When the number of cameras increases, so do the internet’s bandwidth requirements. For example, if a 256 Kbps camera is used for cloud storage, the recorder must have a minimum speed of 2 Mbps for a collection of 8 cameras. Any decrease in speed can result in a loss of quality or frame rate for the consumer. Furthermore, since IP cameras are wireless, a high bandwidth link is necessary for the IP cameras to upload the footage to the NVR.

There are three types of video recorders used in surveillance: DVRs (digital video recorders), NVRs (network video recorders), and CMVRs (continuous video recorders) (cloud-managed video recorder). However, only cloud-enabled NVR and CMVR are used for cloud storage. Internal hard drives are not needed when using CCTV cloud services, but hybrid NVRs have limited capacity for storing the most recent files. The footage is captured and sent to the video recorder via a secure network, after which it is uploaded to the cloud. CMVRs, on the other hand, use a bridge to enable the direct upload of data from IP cameras to cloud servers. The services provided by cloud storage providers, from storage to alerts and health checks, are charged on a monthly subscription basis. Since the cloud data center is shared with others, economies of scale can be realized, lowering overall costs.

Cloud surveillance solution is the best for effectively scaling and handling surveillance while keeping costs down.

Conclusion

Large businesses with multiple locations spread out over long distances need an integrated end-to-end solution that provides a wide-angle peripheral view around each location. Enterprise monitoring personnel may track overall activities without continuous manual oversight thanks to IGZY’s cloud camera solutions. Users can track their sites 24 hours a day, 7 days a week using cameras with night vision capabilities, and receive incident-based alerts if any unwarranted detections are produced. Data collected by IP cameras and sensors is stored directly in the cloud, removing the need for an on-site data storage center and allowing users to access data at any time. Gain insight into the flow of customers into your branch by keeping a clear record of the number of times customers are waiting during peak hours.

During working hours, keep an eye on the presence of workers at all of the counters. Through an AI-based camera solution, you can monitor all people entering and leaving your retail store and deduce customer insights during the scheduled time slots your store is visited. Protect your property with day and night vision cameras that track activity around the perimeter, reducing the need for multiple security guards. Maintain store cleanliness and track employee compliance with hygiene procedures by taking scheduled snapshots of the site before and after cleaning time.

The cloud camera solution from IGZY offers a flexible surveillance foundation that allows users to connect a variety of devices. This allows businesses to extend their surveillance network while still expanding their business, without having to invest in additional infrastructure.

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Unlock the Future: Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

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Master Artificial Intelligence with Great Learning’s Comprehensive AI Course

It is vital that workers learn these skills as AI, generative AI and machine learning continue to advance.

The rise of artificial-intelligence-based technologies (AI) is unquestionable today, as is their potential to disrupt various types of work, including language processing, pattern recognition, problem solving, and even decisions.

ChatGPT, for example, represents a completely new field of technology. This includes generative AI, a subset artificial intelligence that is focused on creating original music, images, and text by learning from previous examples. Generative AI, instead of copying or recognising predefined patterns based upon rules, uses complex algorithms based often on neural networks to create original content.

These developments have been made possible by the huge advances in machine learning, a branch of AI which involves teaching computers how to learn using data. Data collection, model-training, learning from data, examining model output, and adjusting parameters are all part of this process. The development of neural networks, a type of computational training model inspired by the brain, has been made possible through machine learning. These models are built from interconnected virtual “neurons” that are organized into “layers” to process data. This system allows a model to be taught how to balance different parameters in order to recognise patterns and learn them, as well as make predictions and complete tasks. Deep learning is another name for this subset of machine-learning.

Deep learning focuses on training artificial neural networks with multiple layers to represent complex data. The term ‘deep’ refers to the depth of the neural network, meaning the many layers of inputs or outputs. This system has been highly successful in solving tasks like image recognition (recognising images/faces/patterns), natural language processing (ChatGPT-like models which can understand and generate human-like responses, most often used to power chatbots) and speech recognition (used for voice assistants or transcribing speech to text) among others.

It is important that we start to learn about these new technologies, given the potential disruption AI will bring to our world. Many people think that you have to be a software or computer engineer to grasp these concepts. However, anyone can do so regardless of their educational background.

Here are four online certificate programmes that can be accessed for free by leading industry players like Microsoft, Google and Infosys. They can all be accessed for free online

GUVI AI for India 2.0 program

The Government of India launched AI for India 2.0 – a free online course that focuses on AI. Skill India has developed the course in collaboration with GUVI. The program has also been accredited by IIT Madras and the National Council for Vocational Education and Training.

This is a virtual one-day event for the development of tech skills in collaboration with the Ministry of Skill Development & Entrepreneurship. It will be held on 15th August. As part of their preparation, participants will have free access to LEVI’s premium course from July 15th.

GUVI is a personalized learning company founded by IIT Madras, IIM Ahmedabad. It offers online learning and upskilling opportunities for learners. GUVI offers these courses in a variety of regional languages.

Infosys AI certification courses

Infosys launched a free AI Certification Training Program to help users develop new skills. The Infosys Springboard platform offers a free AI course.

The platform offers several other certifications courses on AI-related topics. These courses are designed to be introductory and cover AI, generative AI and deep learning. The platform offers master classes in AI and generative AI.

Infosys Springboard, a virtual learning platform, offers curriculum-rich experiences. Candidates can access corporate-grade training online, from any device. The platform is a part of Infosys CSR commitment, which aims to empower 10,000,000+ people with digital skills by 2025. It caters to all learners, from class 6 up to lifelong learners.

Microsoft’s course on generative AI

Microsoft has created a new AI skills programme to assist people in learning this subject. This initiative is part Microsoft’s Skills for Jobs program, which includes free coursework created with LinkedIn.

The new course teaches AI frameworks, introductory concepts and provides a certificate of completion. Microsoft believes AI will disrupt the workplace and that this course helps people to improve their AI skills..

Google Cloud AI courses

AI and machine-learning careers are in high demand at the moment. This is especially true when it comes to Google Cloud. The potential applications of generative AI are vast, including in the fields of information technology and branding. Machine learning is a powerful tool that can be used to help workers understand data, create models, and create interactive functions. These skills will become essential in the future for data scientists, machine learning engineers, and data engineers.

Great Learning’s Digital Marketing Course

Great Learning offers an in-depth AI course designed for both beginners and professionals who seek to master artificial intelligence. This course covers essential AI concepts like machine learning, deep learning and natural language processing as well as more advanced topics like computer vision and AI ethics. Taught by industry professionals, this course features video lectures, hands-on projects, and real-world case studies to hone practical skills. Convenient and flexible to fit into busy schedules, it is accessible even for working professionals. One can also enroll in a power bi course to complement this course. Participants who successfully complete this course earn an AI certification that can significantly advance their careers – along with additional career support and networking opportunities – offering a complete pathway towards AI success.

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5 ways that PopAI helps impress your boss?

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5 ways that PopAI helps impress your boss?

Impressing your boss with your work is a difficult task to do. You may be a hard or smart worker, but a boss can find flaws in you. Yes, it can be stressful sometimes because you give 100% to the work.

Especially in presentation tasks, your boss may need more creativity.

But I have a solution for you! You don’t need to spend hours making large presentations.

Interesting?

You can do this with the help of PopAI, And I will explain in detail how PopAI helps impress your boss and excel in your workspace. Here are 5 ways that PopAI can set you apart from others.

1. Increase in efficiency and productivity

One of the primary benefits of using this AI is that it increases the efficiency and productivity of employees. With the help of this tool, employees work faster with great results. It allows you more time to focus on strategic decisions and creativity, rather than doing repetitive tasks.

It can handle appointment scheduling, generate reports, and e-mail filtering. With this facility, your creativity and time on the strategic part will be noticed by your boss and he will be impressed by your enhancement in productivity.

2. Data-Driven decision making

AI tool is best at transforming complex data into meaningful data that is easy to understand in the form of graphics, charts, etc. Problems can be identified very fast through insights, whereas it is quite difficult to achieve this through manual analysis. So just imagine, providing data-driven analysis to your boss and giving solutions to the same will do wonders for your reputation in front of your boss.

3. Improved customer service

It facilitates improving customer service. With AI-driven chatbots, it can help you provide prompt and reliable responses to customers. These tools can operate 24/7, which means it is available after business hours. With this approach, customer satisfaction will be increased and following this business will also get a good name in the market.

4. Helps in making business presentations

Time is limited, but work in the company sometimes gives stress to the employees, especially when the boss gives a task of making a presentation at short notice. It will be more difficult when you are not good at colour combination and creating graphics.

So here It comes into the picture, with its Ai for presentation tool, you can make as many presentations as you want in minutes. You just have to enter a topic, select the audience tone, and select the pages and language. With its AI-driven tool, it will suggest colour combinations, and layouts and make your presentation engaging through wonderful visuals in the form of charts and graphs.

5. Collaboration and communication

This AI tool has a wonderful feature that organizes tasks, sets deadlines, and monitors progress. It becomes very handy during office meetings, when you can communicate with your team, that this particular project needs data. With this, the performance can also be tracked and what needs to be done.

Effective communication leads to better results and it can give you value in the company and helps you in gaining skills related to leadership and team player skills. There is a high possibility that with this effective approach, you will achieve positive results for your company.

Conclusion

Having PopAi is like an asset not only does it contribute to individual growth but also it gives wings to the overall success of the company. It possesses a multi-tasking feature that not only fastens the work but also gives you more creative options in using this wonderful tool.

So as a professional, if you want to win the competition, then you need to adopt this kind of tool which increases your productivity as well as improves your leadership skills.

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BLDC Motor Controller Design Principles

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BLDC Motor Controller Design Principles

BLDC (Brushless DC) motors are widely used in various applications, from consumer electronics and appliances to automotive and industrial systems. To control the speed and direction of BLDC motors, specialized motor controllers are required. At Integra Sources, we specialize in designing custom BLDC motor controllers that meet the unique requirements of our clients’ applications.

What Is a BLDC Motor Controller?

A BLDC motor controller is an electronic device that controls the speed, direction, and torque of a BLDC motor. It consists of a microcontroller or digital signal processor (DSP) that generates the control signals for the motor’s power electronics, including the power transistors or MOSFETs. The BLDC motor controller also includes feedback sensors, such as Hall effect sensors or encoders, to provide feedback on the motor’s speed and position.

Key Design Principles of BLDC Motor Controllers

  1. Sensorless vs. Sensored Control: BLDC motor controllers can be classified into two main types: sensorless and sensored control. Sensorless control relies on the back electromotive force (EMF) of the motor to determine its speed and position, while sensored control uses external sensors, such as Hall effect sensors or encoders, to provide feedback. The choice between sensorless and sensored control depends on factors such as cost, complexity, and performance requirements.
  2. Commutation Techniques: BLDC motors require electronic commutation to control the timing of the motor’s winding currents. There are several commutation techniques used in BLDC motor controllers, including trapezoidal (six-step) commutation and sinusoidal (vector) commutation. Trapezoidal commutation is simpler and more cost-effective but may result in lower efficiency and torque ripple. Sinusoidal commutation provides smoother and more efficient motor operation but requires more complex control algorithms and hardware.
  3. Control Algorithms: The control algorithm used in a BLDC motor controller determines how the motor’s speed and torque are regulated. Common control algorithms include open-loop control, closed-loop speed control, and closed-loop position control. Open-loop control provides basic speed regulation but does not account for variations in load or motor parameters. Closed-loop control algorithms use feedback from sensors to adjust the motor’s speed and position in real time, providing precise control over the motor’s operation.
  4. PWM (Pulse-Width Modulation) Techniques: PWM is used to control the average voltage applied to the motor windings, thereby controlling bldc motors. There are several PWM techniques used in BLDC motor controllers, including six-step commutation PWM, sinusoidal PWM, and space vector modulation (SVM). These techniques vary in complexity and efficiency, with space vector modulation offering the highest level of control and efficiency.
  5. Overcurrent and Overtemperature Protection: BLDC motor controllers must include protection features to prevent damage to the motor and controller in the event of faults or overloads. Overcurrent protection limits the motor’s current to prevent overheating and damage to the motor windings. Overtemperature protection monitors the temperature of the motor and controller and reduces the motor’s power if it exceeds a safe threshold.

Integra Sources’ BLDC Motor Controller Design Services

At Integra Sources, we offer comprehensive BLDC motor controller design services to help businesses create custom motor control solutions for their applications. Our services include:

  1. Requirements Analysis: We work closely with our clients to understand their specific requirements and develop a detailed specification for the BLDC motor controller.
  2. Hardware Design: Our experienced hardware engineers design the circuitry and PCB layout for the BLDC motor controller, ensuring optimal performance and reliability.
  3. Firmware Development: Our software engineers develop the control algorithms and firmware for the BLDC motor controller, including PWM control, commutation algorithms, and protection features.
  4. Testing and Validation: We provide rigorous testing and validation services to ensure that the BLDC motor controller meets our clients’ performance and reliability requirements.
  5. Certification Support: We assist our clients with obtaining the necessary certifications for their BLDC motor controller, including CE, UL, and RoHS compliance.

Conclusion

BLDC motor controllers play a critical role in controlling the speed, direction, and torque of BLDC motors in a wide range of applications. At Integra Sources, we specialize in designing custom BLDC motor controllers that meet the unique requirements of our clients’ applications. Contact us today to learn more about our BLDC motor controller design services and how we can help you bring your motor control project to life.

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