Artificial intelligence (AI) is an area of computer science that aims at emphasizing the ability of machines to behave the way humans do which includes complex tasks such as observing, learning, planning and making decisions for problem-solving. We at TECHMATIKS are future ready.
We can help your manufacturing and production centers with our Opensource and custom developed solution for making industry smart. The manufacturing industry has been user of robotics and mechanization for many years. Artificial intelligence is evidently the next step for organizations in this industry to upgrade their production line, productivity, tooling utilization etc. Our custom solutions helps to reduce the production cost per unit with improved quality. We can implement custom AI solutions to your products to compete in rowing challenging market. AI systems does not require explicit programming, but they use Big Data and sophisticated algorithms to learn how to perform the task by itself. Incorporation of Machine learning in real world applications enables faster decision making, increased productivity, process automation and faster anomaly fault detection. We cover
We can implement AI using Theano, TensorFlow, Scikit-learn, Keras, Pytorch, Caffe and other open source libraries.
IoT is a core component of industrial transformation efforts across the globe, including Industry 4.0. Application of IoT can be in any field including agriculture, smart manufacturing, health care, medical, environment control products, home automation etc. The Internet of Things is at the center of overlapping Internet-oriented (middle ware), things-oriented (sensors) and semantic-oriented (knowledge) visions. IoT devices are gaining popularity due to its possibility to remotely monitor and control any devices.
Hardware here is sensors or devices. The task of sensors is to acquire data from environment. It may be temperature, pressure, composition of gas constituents, RPM of shaft, on/off status of devices etc.
Software is the the part, that is installed on the cloud, the main task of which is to analyse the data collected from sensors and perform the task of decision making.
Connectivity is to transmit the data to the cloud and a way to receive commands from the cloud.
A user interface, is used to facilitate user interaction. This can be a Web interface, where collected data is represented as numbers or graphs, or it could be a mobile app installed on a smartphone to interpret data and issue alerts to the end users, depending on sensor environments.
Hardware here is sensors or devices. The task of sensors is to acquire data from environment. It may be temperature, pressure, composition of gas constituents, RPM of shaft, on/off status of devices etc.
Software is the the part, that is installed on the cloud, the main task of which is to analyse the data collected from sensors and perform the task of decision making.
Connectivity is to transmit the data to the cloud and a way to receive commands from the cloud.
A user interface, is used to facilitate user interaction. This can be a Web interface, where collected data is represented as numbers or graphs, or it could be a mobile app installed on a smartphone to interpret data and issue alerts to the end users, depending on sensor environments.