Friday 30 July 2021

What is the algorithm used in video surveillance

 Video surveillance has existed for years but it is now used more than ever. From the corner of the streets to the elevator of buildings, we are watched everywhere. A lot of factors contribute to the rising popularity of video surveillance.

Apart from fast internet, development in technology, and better devices, algorithms have a huge part to play in it. With the introduction of AI-based video surveillance systems, things have become fairly simple for everyone. Machine learning and see learning are some other technologies that are highly impactful when it comes to video surveillance.

Back in the day, people complained that video surveillance was unable to detect the right objects or often reported false alarms. However, this is not the case now as the algorithms have improved and the techniques have advanced. 

How Algorithms Can Enhance Video Surveillance Systems?

AI-Based Video Surveillance

Artificial Intelligence is a great addition to video surveillance as it can identify humans, objects, and even different situations. It analyses the footage to go through the audio as well as video carefully. Such video surveillance systems can be fed with data to make the software realize which situations are normal and which are fishy.

Once the software captures something that is not normal, it sends out alerts immediately to warn the security team. Since AI never gets bored or has a short attention span, it can track every movement to ensure optimum security. Undoubtedly, AI tools can increase the efficiency of any organization.

Machine Learning

Machine learning is all about collecting a wide array of data and then training models according to this available data. This technology has brought some breakthrough results in the field of video surveillance. With machine learning, the accuracy of video systems leveled up.

Apart from accuracy, the ability to distinguish between different objects increased. Objects like cars, different animals can now be identified easily. Also, sounds of different frequencies are identifiable with the help of this algorithm. Most critical problems were solved with the arrival of this technology that led to the betterment of video surveillance systems.

Deep Learning Algorithms

Deep learning is a branch of machine learning. This technology is a family of algorithms and unlike machine learning, it is not complex. Moreover, the software just needs to be trained using this algorithm by collecting different images.

Since it can eliminate the never-ending problem of false alarms, deep learning may just prove to be the most efficient strategy for video surveillance. In simple words, deep learning mimics the mechanism of the human brain to process information. Plus, algorithms based on this technology are exceptional as they allow you to train or control the system.

Increased Efficiency

The security of an organization can be constantly increased using deep learning algorithms. Since the models can be updated continuously, more data can be collected. This process can be repeated till the results are satisfying enough. Alongside, the more data is fed to the system, the more it will understand the human environment.

High accuracy can now be expected out of video surveillance systems because of these factors. Most computer algorithms have an accuracy rate of 95% but this is not the case with deep learning as it offers an accuracy as high as 99%.

Solving Major Issues

When it comes to face or object identification then deep learning’s improvement is unstoppable in this area. Most facial recognition applications are based on the algorithms of deep learning. Apart from his accuracy and identification of objects, one of the greatest advantages of this technology is that it can figure out abnormal events.

Unexpected events can be easily spotted by this tech so it will drastically reduce the cases of false alarms. Several people who were hesitant of opting for video surveillance systems because of the false alarms factor are now open to this idea of AI-based surveillance. 

Behavioral Analysis

AI-based surveillance systems can now understand the behavior of humans and determine if the situation is normal or not. Features like size, speed, actions, color, and orientation contribute to figuring out the behavior of humans. By tracking the patterns and matching them with the data helps the software in realizing whether the condition is alarming.

To Conclude - 

Deep learning technology is being rapidly opted by various industries as it offers various benefits. Especially when it comes to video surveillance, this technology has proved to be a game-changer. Several solutions popped out by simply scratching the surface of deep learning technology so it has a lot in store for the future.

Thursday 15 April 2021

What are the 10 Best Security Cameras of 2021 and Why?

Introduction: there is no doubt security plays a huge part not only for businesses, organizations but also several other niche markets varying in size and geographical location. And with various dynamics needed to keep up wireless video surveillance systems have become key security inputs.


Be it indoor or outdoor security is still a priority and any form of unwanted intrusion, access or threat perception is dealt with precision. So what are the best 2021 wireless video security cameras and why? Let’s find out.

10 Most Amazing Security Cameras of 2021

1. Arlo Ultra 

For enhanced outdoor surveillance be it for homes or business establishments, video detail and clarity is essential. The essential features and other specs make it great in super clear video surveillance. For home or industrial use, it delivers quality images and videos and adaptable feeds for analytics.   

Specs

- 4K super clear video recording

- Colour night vision

- Continuous motion tracking

- Superior AI motion detection.

- Superior angle zoom

- Wireless and weatherproof

2. Wyze Cam v3

With an impressive resolution of 1080p, it still offers great clarity for enhanced images and wireless video surveillance. Combining specs that make for suave 24/7 security.

Specs

-1080p resolution

- Better audio system

- Enhanced night vision

- Higher internal storage with the initial free cloud

option 

- Weatherproof

- Wide view angle modes and zoom

- Smart device compatible

3. Nest Cam IG Outdoor

Security is a serious matter today and only what serves the best results is worth the mention. Nest Cam is an AI wireless video security camera with all the smart security camera specifications like sharp 4K imagery, instant motion detection and two-way audio. Besides the added ability to be weatherproof enhances its profile to great security outdoors security teams assist.

Specs

- AI motion detection

- Two – way communication audio

- 24/7 live 4K video feeds

- High definition recording

- Close-up or super zoom tracking

- Personal operator alerts 

4. Arlo Pro 2

Better and clearer view angles modes and 1080p resolutions mean image and video clarity at all times of surveillance. The initial extra free extra cloud storage is a great way to start surveillance on a quality note.

Specs

- 1080p resolution

- 130+ degree of view angles

- Night vision

- Super clear audio

- Good internal and cloud storage capability

- Weatherproof

-Smart devices compatibility

- Optional battery power source

5. Lorex Smart Outdoor Wi-Fi Camera W281AA-W

As the name suggests, a Wp-Fi camera offers better high-end video surveillance outdoors. Lorex Smart is a smart high definition recording security instrument designed to detect motion enhanced video storage capacity over dual-band Wi-Fi connectivity. Besides offering all-weather usage, it has remote operation and connectivity possibility within the Wi-Fi range.  

Specs

- Enhanced 1080p quality imagery

- Dual-band Wi-Fi connectivity

- AI motion detection

- Higher video storage capacity

- All weatherproof

- Alexa and Google voice commands compatible

6. Deep Sentinel

This is a classic wireless video surveillance camera based on AI live videos or images. What makes it special is AI adaptation to monitor, track and stop intrusions.

Specs

- Night vision

- Wide-angle views

- 480p resolution

- Clear audio

-Battery operation

- Weatherproof

- Smart device compatibility

-Subscription cloud storage

7. Arlo Pro 3

Perhaps it's not surprising the Arlo still features a third time. A mixture of high-end service delivery, ease of handling and long term use win it more users and customers. Combining that with a host of options and great specs highlights its quality.  

Specs

- Wi-Fi-based outdoor security camera

- Easy magnetic base installation for varied view angles

- Weatherproof

- Battery operated

8. Lorex 1080p Smart Indoor Wi-Fi Camera

Like its sharp outdoor counterpart, this indoor version is loaded with some exciting features. These range from sharp 1080p video, extra clear

voice control, enhanced internal storage, Wi-Fi operation, AI-motion detection depending on sound or motion. 

Specs

- 1080p sharp video

- Extra sharp images

- Enhanced internal storage

- Smart command operation and usage

-Super AI-sensitive sound and motion detection

9. Nest Cam IQ Indoor

Another smart follow-up video security camera providing superior indoor surveillance solutions. Besides clear facial recognition, auto-zoom tracking, motion and sound sensor alerts, and compatibility to multiple smart devices. That gives indoor security-enhanced footage.

Specs

- Motion and sound sensor alerts

- Clearer facial recognition

- Auto-zoom tracking

- Multiple smart device compatibility

10. Wyze Cam Pro

An indoor smart video surveillance camera with a host of great specs for better security management.  Of course with these features is enhanced quality video surveillance and image storage capacity.

Specs

- 1080p resolution

- Wi-Fi operation

- Smart night vision

- Smart devices compatibility

- Easy magnetic base installation and adjustment

Conclusion

With the security and integrity of establishments at its peak of demand, powerful and reliable wireless video surveillance systems are also under increased evaluation. And it’s no wonder why only the most capable and reliable services wise are valued.


Friday 5 February 2021

The Best Mobile App Development Trends in 2021

Introduction: Mobile apps are part and parcel of daily lives on a daily basis. They are now used commonly for shopping, education lectures or tuitions, doctor appointments, online payments etc. It is almost inconceivable how life can be without the use of mobile apps. That is why Mobile Application Development is a vital part of this constant IT paradigm shift.

However, be that as it may, mobile apps are in constant re-innovation and change. And therefore it is crucial to keep up with the latest trends. So what are the new trends that we should expect in 2021? 


mobile app development Trends in 2021


Let’s discover below.


The Newest Mobile App Development Trends in 2021


(1). Augmented Reality (AR) and Virtual Reality (VR)


We see integration and adaptation of the latest AR and VR technology in mobile app development trends in 2021. This means high-quality gaming apps are used in several innovations. Both Apple and Google are innovating AR and VR. Google's new AR features in Google Maps provide directions from user’s smartphones in real-time.


The year 2021, AR and VR app integration promises great innovative mobile app development trends that will shape the mobile apps for a very long time to come through seamless user experiences.


(2). IoT, Analytics, Big Data


Global IoT expenditure expected to breach the $1.1 trillion mark by 2023. That includes a massive 21.5 billion installed IoT units globally. Analytics and Big Data continue to redefine the gelling of technologies IoT bears several devices: like wearables, smart homes, smart cars, smart cities etc. There is an unprecedented demand for such verticals across industry and the globe.

In healthcare apps, WFH remotely adapted technologies there is a jump not only in IoT healthcare systems but cloud accessible devices. From smart homes, a smart assistant and smart appliances with sensors to run smart homes. 


(3). Live Streams and Video Conferencing


What is clear from the ongoing coronavirus pandemic technology is adaptive to emerging realities? There is a new normal in how we work, do business, interact and stay in touch. More than ever before social interaction is changing and setting the pace in other areas.


Live streams and video conferences have become part and parcel of that new reality. There are more business and social events held on these platforms than has ever been before, With the vaccination process just underway, businesses, governments and organizations feel obligated to communicate and stay in touch with core target audiences and demographics. 


Online video conferences or virtual events suffice to cover lots of ground and help avoid or limit physical contact. Webinars and logs enable virtual mode communication at anytime and anywhere. Businesses and organizations maintain well equipped virtual rooms to facilitate online chats, video conferences or event live streams in real-time with a global reach.


(4). 5G Technology


Although we have 5G technology in service already, there’s an expectancy and promise of what it entails and offers. 5G promises unprecedented fast speeds in mobile telephony like never seen before backed by a confluence of several technologies. 5G is expected to transform the mobile app development industry in a big way with far lasting implications. With Android and Apple rolling out devices that handle 5G, this is a great sign for the future of app development.


5G is extraordinarily fast compared to 4G technology. With high speeds and low latency, reboots in video game interruptions or live streaming services are absolutely negligible as streaming 4K content is solved. IoT devices and technology is adapted across verticals and industry. There are several positives and advantages 5G technology offers.


(5). Artificial Intelligence and Machine Learning 


AI and ML integrate into almost everything around us. With the 2021 mobile app trends, AI and Ml continue to inspire innovations in the backdrop of COVID-19. AI and ML pose more disruptive and redefining technologies as new normal emerge and set the app development tone.


The great influence of AI on mobile app development is readily apparent. Reshaping cloud computing and new AI models, smart devices will heavily benefit more from an AI and ML confluence in 2021. Today, search engines, virtual assistants, marketplace servers, BPA, RPA other technologies that help know user preferences are built upon AI, and ML. These two are part and parcel of most smart devices including smartphones. Adding AI and ML in mobile means impactful influence on mobile app development.


(6). M-Commerce and E-Commerce


M-commerce and E-Commerce mobile app development have fueled other apps like online pay, education, business channels etc. Today apps handle almost everything and all things produce which helps them generate extra revenue. With an extra preference for online shopping in the midst of COVId-19. M-commerce and E-Commerce apps enable users to access their preferred products and services. There are multiple benefits and advantages especially in these social distancing times like 24/7/365 access and shopping with GPS features, verified payment gateways, push notification for announcements, products, and offers custom user experiences, enhanced client loyalty, higher conversion rates etc.


Conclusion


There are more emerging interesting and innovative developments with regard to Mobile Application Development in 2021.

Tuesday 26 January 2021

What are the Ways to Improve Application Management in Distributed Environments?

Description: Application management is a sequence or revolution of an operating system that reveals or shows the performance, reparation upkeep, and configuration management of the Application.

Dissection of Application Management 


Application Management was created in other to guarantee how the application works, the rate at which the application will carry out its activities is high and effective as expected.

Users tend to make good use of applications because of the rate of performance, and the effects which can help them in carrying out their activities.

An application with higher performance helps in the storage of information, or important data. 

application support and maintenance



Ways of Improving Application Management in Distributed Environments


Application management services help determine the performance and the rate at which an application can work. In general Application Management Services help businesses or organizations and this impacts their bottom lines in several ways like serving the customers right, meeting their needs at the point of their need, financial expansion, administrative efficiency, productive efficiency, etc.

It helps in the storage of important information, or data, it gives the ability or opportunity to maintain great relationships with customers in an organization or company. It also helps companies to satisfy the expectations of customers by giving them everything they need or require.

It fairly makes it easy to handle employees, rate their services and efficiency, and help organizations or companies whether they are small or big. Let’s find out below the means or ways to improve Application Management Services that ensure the effective work of applications.


(A) Maintenance of Operating Systems 


To ensure that software or operating systems don’t develop faults or suffer damages, it is vital to ensure that there's good maintenance of the operating systems. That enables them to carry out assigned activities like scanning, controlling, examination, and regulation. With proper maintenance of the operating system, it is possible to regulate and monitor business for proper growth and better customer service or support. 

Maintenance of operating systems means giving computer systems the ability to carry out several activities at the same time and all the activities are in order without any form of mistake or error.


(B) Improvement of Application 


At the mention of the word improvement, which means we are expecting maybe not a total change but a slight change in a particular thing, the same thing implies as well when it comes to applications. There should be an improvement in an application to carry out the proper task and be able to meet up with the outcome expected.

Improvement in an application helps in the proper storage or keeping of customer data or information. Improved applications also help users to carry out various tasks that interest them.


(C) Examination of System 


Through system examination, we can get to know the rate at which the system is working, and what are the system requirements to ensure that it’s properly working. 

System examination is good to ensure smooth day-to-day activities in a business or organization are flawless. Moreover, there is no way we can be sure of what the system is up to without examining the system capacity, the rate at which it can run its activities, etc.


(D) Transferring of Data


In the process of transferring data, there might be leakage of data that isn’t meant to be disclosed or that is very important consciously or unconsciously, so, one of the ways that we can improve application management is by the best way to transfer data without leakage of data.

It will not only prevent the data from unconscious leakage but also will provide or ensure data reliability.


(E) Application Regulation 


Regulation of applications is very important in the area of improvement of application management. That is because it allows users to do what they want to do without having to waste their time or delay before they achieve what want they want to accomplish. 

It makes applications to be user-friendly and helps to reduce financial estimation.


(F) Proper Tracking of Error 


Proper tracking of applications to prevent error is important. Trying to get and understand what is running through the software for the better tracking of any mistake or error.

Correction of mistakes, carrying out a trial on the application, getting feedback from the users, keeping track of important information is part of the proper ways we can track the application error.

Though this part might take a lot of time and effort and as well as teamwork it is worth it to ensure application management improvement.


Summary 


The improvement in Application Management Services helps showcase what an app is up to and the tasks it can carry out. An app can work effectively the way it is designed, contribute to improved and overall application software, and keep good customer service or customer relationship management in a company or an organization. The best application management can impact the business positively.

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