One sector that has been deeply impacted by wearable technology, it is the health domain. Over time, medicine and healthcare have matured through time. Some of the credit goes to wearable devices, the thrill which medical science can do these days are made even trendier. The wearable market is capable, as the number of connected wearable devices globally is likely to mature to more than 1.1 billion in the year 2022, while the telecom technology shifts right from 4G to 5G. Several Application Development Companies are building apps principally to run wearable in healthcare and other industries.
As discussed, different wearables have been accepted in an extensive array of domains; however, they have their maximum perspective in healthcare. The increasing usage, as well as the growing importance of wearable technology in the medical field, helps to address healthcare costs, help aging populations, and assist in solving the complexities of many chronic diseases.
Wearable technology depends on diverse sensor styles. The standard versions of wearable tech are smartwatches and wrist bands. They are found and utilized in clothing or jewelry, along with other accessories. Such wearable take an entirely innovative level of tracking, monitoring, diagnosis, and medical treatment. Many organizations are realizing the impact of wearable technology in healthcare and utilizing this technology because of its advantages and asking application development companies to build wearable apps.
Fitness trackers are some of the straightforward and most unique examples of wearable technology. These wrist bands have sensors to calculate and measure the physical activities. They also measure the heart levels of the device user. By connecting to a choice of smartphone apps, they provide users with medical, health as well as fitness suggestions.
Fitbit Flex was one of the foremost fitness trackers for standard users. With the five indicator lights, people were quite attracted by its silky look and capability to monitor progress during the whole day. Later a variety of wearable fitness trackers and wearable apps are built by the application development companies across the world.
HeartGuide was the first blood pressure monitor wearable device that was released in the year 2019. The wearable look to be a popular smartwatch can effectively monitor blood pressure and day to day activities, such as the number of actions taken, distance travelled, and how many calories you burned in a definite period.
Biosensors are wearable devices that are budding and utterly diverse from wristbands as well as smartwatches. The wearable biosensor comes in use as an auto-adhesive patch that enables patients to move around while calculating pulse, breathing rate, heart rate, and temperature details.
The advanced wearable smartwatches are not only utilized to track heart rate, sleeping patterns but come with many more health statistics that are helpful for patients. It is specially developed for offering support, and patients gain from such devices. This wearable is predominantly the precise technology for people with persistent chronic conditions needing uninterrupted monitoring and tracking of their health conditions.
The wearable devices make it simpler to collect health and medical data on a regular basis so that the primary disease can be tracked correctly. Patches devices can be mounted right on the skin surfaces to bring together health information. Such patches can display medical data in real-time in order to represent a clear pattern. If a patient requires monitoring or tracking in quick time intervals or every few hours, the use of such wearable patches is a substitute to frequent or continuous hospitalization.
Trips to the hospital will take efforts, time, and money for the patient’s family. It not only involves treatment fees, but they are also heavily charged with periodic medical consultation fees. Innovative wearable applications and devices built by the app development agencies trim down costs for health treatments. This scenario applies more than ever to patients with medical conditions such as diabetes, hypertension, and others who need customary assessments. Effectual health diagnosis would also lend a hand to enable care and thus lessen overall treatment costs and regular technical hitches to some extent.
Doctors are assisted with the regular diagnosis of the patients’ issues if they have access to quick and real-time data. The gathering information helps determine the sternness of the patient’s condition and thus facilitates doctors and medical staff in prioritizing medical cases easily. In many cases, wearable applications like Google Glass have been found to be extremely helpful for some healthcare surgeries. The device assists to do CT scanning and ultrasound images to get a correct picture of the health-related targeted zones.
While we all know that the smartphone element ecosystem played a significant role in getting the first wearable to market, the next wave of modernization is being steered by silicon.
Not only is Apple creating exclusive processors and sensors right into the Apple Watch; however, the company is also utilizing its own chips for the execution of Bluetooth in AirPod wireless headphones. Different companies are coming together with their own products for advancing healthcare domains with wearable technologies. Product makers that cannot compete with Apple openly for smartwatch processors are turning to Qualcomm.
Ear-worn devices are wearable technologies built to improve hearing. While the market remains in the near to the beginning adoption phase, hearables provide many possibilities in the areas of healthcare as well as fitness. Hearables can perform a diversity of functions starting from heart rate calculations to sleep tracking, steps as well as calorie monitoring, and they are perfect for brain wave analysis. The blending of Amazon’s Alexa, Google Assistant, Apple’s Siri, and IBM’s Watson is turning hearables more intelligent.
As per a survey by the World Economic Forum (WEF), around 92 percent of country leaders think that 10 percent of people will wear internet-connected clothes by the year 2025. The marketplaces for smart clothing are in the primary experimental stages with some of the fitness and healthcare products, comprising NadiX yoga leggings, Ambiotex intelligent shirts, and Sensoria socks, accessible commercially.
With enhancing the adoption rate in most of the mature markets, both the acceptance and competition in the wearable technology domain are immensely increasing. With miniaturization and lowered prices of device development, the scenario will generate a surge for wearable sensors in medical and healthcare areas, leading to substantial market growth.
We saw wearable devices used in healthcare and how the healthcare industry is transforming with the help of wearable devices.
Technostacks is a leading wearable app development company and has exceptional experience in developing healthcare apps. Our technology teams have even developed advanced HIPAA compliant applications for our global clients. Let’s connect to discuss your app development ideas in detail.
Enterprise Mobility Solution is a budding trend that is rapidly grasped by the global market to enhance the productivity irrespective of the workspace. The organizations who consider mobile application as a top priority are experiencing more numbers of work hours yearly on an average. With the latest trends in digital transformation, integrated innovations and cloud computation, the enterprise mobility is going to play a significant role in 2019.
With open and mobile data sources and application, enterprise mobility solutions become more vulnerable to the security breach. Effective threat management, hybrid solution for hosting critical apps and control over the devices and cloud would come as a responsibility with the latest trends. Moving towards 2019, we will see security measures like biometric authentication to access data, device or services, tracking device information and location to set the security threshold of the workflows and device protection against malware and viruses. Especially, Android and cross-platform enterprise application would get more IT focus.
For tapping into the latest trend, you need sound professionals as your development partners and Technostacks is the optimum choice in this context. Our experience and expertise both allow you to leverage the latest tools and technology in the cost-effective manner to get highly intuitive Enterprise Mobility Solutions.
CEBIT Thailand is ASEAN’s business platform, festival for innovation and digitization. The event will be held from October 18 to 20 at IMPACT Exhibition and Convention Centre in Muang Thong Thani. It is hosted by the Ministry of Digital Economy & Society and the Minister of Science and Technology (TBC). The event will pull technology professionals in Southeast Asia, from varied industries demonstrating the entire breadth of the technology sector.
CEBIT ASEAN will feature an exhibition and a conference programme. Admission to the CEBIT ASEAN THAILAND is constrained to trade professionals only. And the dress code for entry is firmly business-wear.
There has never been a more imperative time to do business in the swiftly evolving world of technology and this event offers boundless possibilities for businesses wishing to be at the front of innovation, technology, infrastructure and culture. It will cover Cloud Technology, IT Security, Big Data, IOT, Software and Hardware Solutions; to Emerging Technologies.
And will attract technology professionals and business leaders from assorted industries including financial services, healthcare and government, manufacturing and media, indicative of the complete breadth of the technology sector.
Technostacks, who specializes in mobile app development, software development, web and e-commerce solutions, digital marketing and cloud based services will exhibit at CEBIT ASEAN Thailand 2018 at Hall 7-8, IMPACT Exhibition & Convention Centre, Bangkok, Thailand.
The company has its business presence in the USA, Germany, UK and India. It works on advanced technologies covering Angular JS & Node JS, Liferay Development, .Net Development, IOT (Internet of Things), AR, VR, ML, AI, and Salesforce. The company is highly committed to supporting digital industry development and progression. It innovates solutions in Augmented Reality, Embedded System, Wearables, Beacons (Context Awareness), Blueetooth low energy (BLE) Artificial Intelligence as well as in Machine Learning.
The event will offer an assortment of networking opportunities through personal meetings. Technostacks will be a focus for technology professionals and business leaders from varied industries including finance, medical, manufacturing, media and other technology domains. Businesses or individuals looking for any category of IT solutions are welcome to connect with us. So, let’s fix up a meeting for your IT requirements at below contact details.
If your organization is in the technology business and/or digitization you should reserve your booth today itself!
YOLO (You Only Look Once) system, an open-source method of object detection that can recognize objects in images and videos swiftly whereas SSD (Single Shot Detector) runs a convolutional network on input image only one time and computes a feature map. SSD is a better option as we are able to run it on a video and the exactness trade-off is very modest.
SSD is a healthier recommendation. However, if exactness is not too much of disquiet but you want to go super quick, YOLO will be the best way to move forward. First of all, a visual thoughtfulness of swiftness vs precision trade-off would differentiate them well.
While dealing with large sizes, SSD seems to perform well, but when we look at the accurateness numbers when the object size is small, the performance dips a bit.
Ten years ago, researchers thought that getting a computer to tell the distinction between different images like a cat and a dog would be almost unattainable. However, today, computer vision systems do it with more than 99 % of correctness. But how? Joseph Redmon worked on the YOLO (You Only Look Once) system, an open-source method of object detection that can recognize objects in images and videos swiftly. This is important as it can be implemented for applications including robotics, self-driving cars and cancer recognition approaches.
As per the research on deep learning covering real-life problems, these were totally flushed by Darknet’s YOLO API. In one of the sessions of TEDx, Mr. Joseph Redmon presented triumphs of Darknet’s implementation on a smartphone. Multiclass object detection in a live feed with such performance is captivating as it covers most of the real-time applications. But without ignorin g old school techniques for fast and real-time application the accuracy of a single shot detection is way ahead.
The presented video is one of the best examples in which TensorFlow lite is kicking hard to its limitations. A Mobile app working on all new TensorFlow lite environments is shown efficiently deployed on a smartphone with Quad core arm64 architecture. The specialty of this work is not just detecting but also tracking the object which will reduce the CPU usage to 60 % and will satisfy desired requirements without any compromises.
In this blog post, We have described object detection and an assortment of algorithms like YOLO and SSD. We shall start with fundamentals and then compare object detection, with the perceptive and approach of each method.
For YOLO, detection is a straightforward regression dilemma which takes an input image and learns the class possibilities with bounding box coordinates. YOLO divides every image into a grid of S x S and every grid predicts N bounding boxes and confidence. The confidence reflects the precision of the bounding box and whether the bounding box in point of fact contains an object in spite of the defined class. YOLO even forecasts the classification score for every box for each class. You can merge both the classes to work out the chance of every class being in attendance in a predicted box.
So, total SxSxN boxes are forecasted. On the other hand, most of these boxes have lower confidence scores and if we set a doorstep say 30% confidence, we can get rid of most of them.
SSD attains a better balance between swiftness and precision. SSD runs a convolutional network on input image only one time and computes a feature map. Now, we run a small 3×3 sized convolutional kernel on this feature map to foresee the bounding boxes and categorization probability.
SSD also uses anchor boxes at a variety of aspect ratio comparable to Faster-RCNN and learns the off-set to a certain extent than learning the box. In order to hold the scale, SSD predicts bounding boxes after multiple convolutional layers. Since every convolutional layer functions at a diverse scale, it is able to detect objects of a mixture of scales.
There are many algorithms with research on them going on. So which one should you should utilize?
Technostacks has successfully worked on the deep learning project. We consider the choice of a precise object detection method is vital and depends on the difficulty you are trying to resolve and the set-up.
Object detection is the spine of a lot of practical applications of computer vision such as self-directed cars, backing the security & surveillance devices and multiple industrial applications.
If you are looking for object detection related app development then we can help you. Technostacks has an experienced team of developers who are able to satisfy your needs. You can contact us, mail us (firstname.lastname@example.org), or call us (+919909012616) for more information.
Technostacks, reputed IT Company in India, has successfully carved its niche within a few years of its inception….