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smartwatche  Smart Watch
Our wearable app development experts create extremely innovative and value driven apps for Apple and Android smartwatches.
  • Developing fitness apps that can track and monitor the physical fitness of the user based on various parameters.
  • Building apps that can act as an extension of your ecommerce business, and speed up customer decision making.
  • Developing utility apps for Apple Watch and a range of Android based smartwatches like task management apps, time management apps and more.
  • Creating payment apps that add a new dimension to the payment options you are offering your customers.And more!
VR Glass  VR Glass
Our developers help create immersive VR experiences that help you enhance customer engagement levels with your business’s products and/or services.
  • Creating and deploying VR applications that that help people visualize and experience different environments or products.
  • Developing applications that can be used for safety and training purposes.
  • Creating apps for restaurants that enhance the overall dining experience for restaurant goers.
  • Building virtual learning environments that help learning institutes improve teaching methodologies.
  • Gaming apps that provide the next level of gaming to users wherein they are not just playing the game but are a part of it.
Google Glass  Google Glass
The use of Google Glass apps can revolutionize the way your business interacts and engages with target customers.
  • Solutions for the workplace, for e.g. we create solutions that offer assembly line/manufacturing facility workers real time information about their job and that too in a hands-free manner. This goes a long way in improving productivity.
  • Tutorials for your workers that offer an immersive on-the-job training experience.
  • Creating remote break down assistance solutions for cars, heavy vehicles and machines. The use of these apps ensures work continuity and can bring down maintenance and support costs.
  • Building e-learning apps that help organizations enhance the learning and development curve of their employees leading to better process efficiency.
Barcode Scanner  Barcode Scanner
Wearable barcode scanners are helping inventory management and its optimization. Workers wear these scanners and perform their scanning jobs with relative ease.
  • Building bar code scanning apps that can be used in manufacturing facilities to seamlessly manage parts tracking on assembly lines.
  • Creating scanning apps for retails stores which help sales people access product information and also manage product inventory easily and quickly.
  • Our scanning apps for the delivery and logistics industry help users scan packages, update shipping status and access delivery information.
  • We build scanning solutions for warehouses that help users optimize inventory management.
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Enterprise Mobility Trends

Latest Enterprise Mobility Trends To Follow In 2019

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.

In the recent years, the focus has been shifted from data models to service models. Mobile apps and portable devices are becoming the cloud for scrambling services. Here you can explore the top enterprise mobility trends of 2019.
  • Function-friendly apps:
    Enterprises are looking towards more specific feature app for both of their employees and customers. Demands for enterprise mobile app has been increasing, which aims to make a particular function of the organization easy instead of pasting the entire features of the desktop site.
  • Virtual personal assistants:
    The trend to develop ‘smart’ application is on top today. And admiring special assistant services offered by Siri, Cortana, and Google Now, more and more enterprises are adopting it widely. The industries are embracing virtual assistant to save time, reduce error and improve the efficiency of the employees.
  • Moving to the cloud:
    Cloud computing has travelled a long journey and now it is established as mature, affordable and reliable service and source of data. The enterprise mobility is quite impossible without adapting to the cloud. All the critical data is saved, shared and operated in the cloud, which makes Enterprise mobility development more flexible and accessible.
  • Bring Your Own Device:
    A novice culture, which is setting the trends for future and laying a platform to explore enterprise mobility. BYOD is widely entertained by the corporate world and more than a trend, it established as norms in many companies. With mobile device management solution, BYOD concept is improving the fluidity of work carried out on devices.
Security Trend In Mobility Solution 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.

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CEBIT ASEAN thailand 2018

Technostacks: Meet us at CEBIT ASEAN Thailand – 18th to 20th October, 2018

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.

Business Networking Opportunities at CEBIT ASEAN Thailand

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 will be participating at CEBIT ASEAN Thailand

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.

Let’s Meet Technostacks for your requirements

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.

Contact Details:

Website: https://technostacks.com/
Email: info@technostacks.com
+919909012616

If your organization is in the technology business and/or digitization you should reserve your booth today itself!

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Object Detection In Deep Learning

YOLO Vs. SSD: Choice of a Precise Object Detection Method

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.

Deep learning working with real-life problems

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.

You only Look Once (YOLO)

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.

Single Shot Detector (SSD)

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?

YOLO Vs SSD

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.

SSD is a better option as we are able to run it on a video and the exactness trade-off is very modest. 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.

Moving Forward

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 the 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 for more information.

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