Technology - Emglitz Applications
Embedded Applications
Developing applications solutions for embedded systems are usually more challenging and critical considering some of the non-embedded counter parts.
As organizations come under increasing pressure to achieve higher levels of device integration while reducing the associated cost, size, and complexity, process innovation becomes highly significant. We can offer appropriate recommendations to embedded software and systems engineering solutions that would satisfy all these business requirements.
Our proficient and dedicated embedded application development team helps you to build embedded application solutions with rich user interfaces that will ensure the best customer satisfaction and user experience when using your device. We will definitely be able to match your requirements with our strong experience and in-depth expertise of the innovation.
Future of Embedded Systems and Career Options
Intelligent devices
Intelligent devices are devices that have the ability to think, or simply put are “things that think”. These devices use a combination of technology, algorithms and embedded hardware to replicate what was once thought to be an activity exclusive to living beings with brains. Today, there are machines that can do your thinking for you Whether it’s a simple device such as iLumi (an intelligent light bulb that can be operated via an Android app to create different lighting environments) or a device as complex as PETMAN (an anthropomorphic robot that can detect any chemical leaks in its costume – useful for testing chemical protection clothing), intelligent devices will soon be everywhere. This ultra-high level of intelligence in machines poses concerns of security and privacy
Internet of Things
Internet of Things or IoT is a concept that involves connecting the internet to physical devices such as home appliances and manufacturing machines. With cloud computing and increasing access to fast speed internet everywhere around the world, the Internet of Things will soon be more than just a concept.
Your Smartphone communicates with your chair about your sitting posture, with satellite receivers to know the right temperature and your cooking gas to know whether the dish you left to simmer on it is burning; in case of a fire hazard, it will communicate with the respective fire control agency in your zone. Businesses have realised the importance of IoT and there are consultancy firms already that specialise in helping you apply IoT at your organisation
Cyber Physical Systems
Cyber physical systems form an important part of Internet of Things. These systems are backed by powerful computation and fast communication and aim at integrating the physical and cyber world into one. Cyber physical systems can be used for precision-based tasks such as in the implementation of robotic arms, exploration-based tasks in areas inaccessible to humans, creating and deploying energy efficient systems as well as for easing daily life activities.
These systems come across issues relating to privacy, security and flexibility due to their high level of complexity.
Smart Agriculture
Agriculture is one of the primary fields that require assistance of something awesome like embedded systems. There are a lot of complexities involved in the process – a farmer has to understand the climatic conditions, sometimes predict the conditions and change the farming practices accordingly. The farming practices also change according the soil conditions of that specific plot and hence some computational assistance can help a lot.
Intelligent Transport Systems
Imagine transport systems that are smart enough to understand the situation they are in and act accordingly. Organisations such as Google, Audi and Toyota are into R&D of intelligent transport systems that can increase the safety and comfort of drivers and are in the plans of releasing them for commercial purposes in near future. New technologies are also used in Aeroplanes these days, which send data about how each component in the aircraft is doing to a central computer for better tracking and management.
Autonomous vehicles are designed to drive on their own by understanding their surrounding and act accordingly. Implemented with technologies like GPS, advanced Computer Vision, vehicles can identify the correct paths and lanes in a city and navigate without colliding obstacles and follow proper traffic rules. These autonomous vehicles are also equipped with Anti-Lock Braking System which are triggered when the vehicle is in a potentially dangerous situation. Inter- Vehicular Networks are being established which maintains communication between the vehicles. This reduces the risk of potential accidents.
Smart Healthcare Systems
Having smart healthcare systems might be one of the most important applications of future embedded systems. It can revolutionise the way medication is done right now - Doctors can provide remote medication to people living in rural areas which is estimated to reduce more than 15 per cent of medical expenditure in the country and needless to mention the number of lives that would be saved.
Recently, telemedicine has gained a lot of importance and is practically being implemented in countries like France, Spain. But, till now Telemedicine is done in a ‘store and forward’ process where the reports of the patient are sent to doctors who are far away and they advise medication based on the reports.
MATLAB Applications
Image Analysis
Image analysis is the extraction of meaningful information from images mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.
Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models.
Digital Image Analysis
Digital Image Analysis or Computer Image Analysis is when a computer or electrical device automatically studies an image to obtain useful information from it. Note that the device is often a computer but may also be an electrical circuit, a digital camera or a mobile phone. It involves the fields of computer or machine vision, and medical imaging, and makes heavy use of pattern recognition, digital geometry, and signal processing.
Techniques used in
There are many different techniques used in automatically analysing images. Each technique may be useful for a small range of tasks, however there still aren't any known methods of image analysis that are generic enough for wide ranges of tasks, compared to the abilities of a human's image analysing capabilities.
- 2D and 3D object recognition
- Image segmentation
- Video tracking
- Medical scan analysis
- 3D Pose Estimation
- Automatic number plate recognition
- Fingerprint processing
Medical Imaging
Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues (physiology). Medical imaging seeks to reveal internal structures hidden by the skin and bones, as well as to diagnose and treat disease.
Medical imaging also establishes a database of normal anatomy and physiology to make it possible to identify abnormalities. Although imaging of removed organs and tissues can be performed for medical reasons, such procedures are usually considered part of pathology instead of medical imaging.
Automatic Number-Plate Recognition
Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task.
This used by police forces around the world for law enforcement purposes, including checking if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies.
Fingerprint Processing
Fingerprint processing has three primary functions: enrolment, searching and verification. Among these functions, enrolment which captures fingerprint image from the sensor plays an important role. A reason is that the way people put their fingerprints on a mirror to scan can affect to the result in the searching and verifying process.
Regarding to verification function, there are several techniques to match fingerprints such as correlation-based matching, minutiae-based matching, ridge feature-based matching and minutiae-based algorithm. However, the most popular algorithm was minutiae based matching algorithm due to its efficiency and accuracy.
