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  • Innovations

    Permanent development, that’s ANASOFT’s philosophy. In certain specific areas, ANASOFT creates new standards while also supporting internal research and development projects.



    Augmented Reality

    The technology behind Augmented Reality (AR) enables bridging the physical environment of a shop’s floor with its virtual counterpart in the form of a digital twin. The virtual layer provides immediate access and visualization of the right data on the site of production process directly. As a result of this, production personnel could aptly dispose situations with an up-to-the-minute overview of production processes OR have at hand the information necessary to efficiently manage maintenance operations or interventions per a particular machine or equipment.

    Telemanipulation – Gesture Control

    We monitor moving objects via a set of software solutions based on state-of-the-art technologies that process images obtained from an online video. Thanks to advancements in motion and position detection, both of which could sense an operator’s movement in space, we have introduced new possibilities that can be used to control production lines with an operator’s gestures. Besides the immense advantages of contactless control, this technology makes it possible to perform 3D scanning of an operator’s motions, which is applicable in the training of an assembly line’s operations at a factory’s training center(s).

    Voice Technology in Manufacturing

    We are developing an automatic identification technology based on the recognition and digitization of human voice. What’s more, we have made the system’s interpretation of the data from a human voice feasible, thanks to the specialized mobile terminal.

    Users are not receiving information visually, but aurally. Voice commands confirm their activities. We are widely using the system PickByVoice, which enables employees to move freely.

    Navigation Through Dynamic Visual Elements

    It’s a projection of a technological procedure or navigational information into the operational space of an employee directly. Eventually, we will be installing Head-Up displays onto a car’s front windscreen or another reflex glass; and thereafter, signal lights in designated positions.

    This way, we would achieve a more precise navigation system; hence an employee would be afforded a free hand and do not need to take eyes off their display devices while working. An employee could ably interpret a change of color as an alteration in the state of a machine, equipment, or material. The examples of such navigation are PickByLight and PickByPoint systems or different variation of ANDON system.



    Prediction of Demand in Logistics

    Big Data presents an inspiration to develop new business models for logistics services. As a result of it, we can analyze large volumes of heterogeneous data and unveil patterns of behavior and relations. It lets us identify anomalies in automatized production’s data. We could anticipate delays in supply chain and devise an appropriate workaround to tackle them during logistics services, thereby achieving higher client’s satisfaction.

    Predictive Maintenance

    We are working with a tool that extends the existing maintenance plan through statistics and data mining methods. This tool notifies the operator of when the next interference would occur because it detects when a machinery or equipment is liable to succumb to high-risk failure. On the reverse, the tool, based on predictive maintenance, evaluates an equipment’s condition and can call off planned maintenance if the equipment does not neccesitate one.

    Next generation automation enables us to integrate a machine or equipment’s diagnosis into the operational systems directly. The industrial Internet of Things (IoT) provides a platform through which information can be shared, while Big Data analyzes and stores the information.

    Production Planning and Predictive Manufacturing

    Based on the analysis of production data, we can easily predict the origin of scraps, downtimes, and delays in the manufacturing process. This tool notifies supervisors upfront about the possibility of an emergency or reclassifies the order of production to minimalize the risk of incident.



    Operative Dispatching/ Manufacturing Resource Scheduling

    Each machine or equipment operating in a factory or enterprise communicates, thus they generate an extensive amount of data. Fittingly, employees are unable to keep track of all those information and notifications.

    We are analyzing these Big Data directly in our systems to control manufacturing operatively. Implemented self-learning algorithms and artificial neural networks provide already consolidated information to users—in the right amount and moment—so that they can take practical and apposite decisions.

    Warehouse Positioning Optimization

    We predict the most appropriate positioning of goods in a warehouse in proportion to the expected quantity in a way that makes the best use of the warehouse’s space.

    Autonomous, self-learning, and genetic algorithms and artificial neural networks are the leading concepts of production automation in managing manufacturing operations and processes in real time. The algorithms are also serviceable in planning in the form of forecasts and prognosis for the optimization of industrial processes.

    Autonomous Logistics Solution Based on the Multi-Agent System

    Each unit (i.e., equipment, accessory, vehicle) is assigned a virtual agent in the cyber system. The system, based on the principles of interconnectivity and decentralization, synchronizes and coordinates units as a whole entity. These aggregations (regarding their mutual information and availability) perform their tasks in an especially optimal fashion.



    Offline digital signature

    Our digital signature solutions also include an offline functionality delivering the full capability of the solution even when the device is offline. It combines biometric features of a handwritten e-Signature with a digital document to be displayed and signed on one device. The solution creates a new sales possibilities to serve customers wherever and whenever suits them the most.?

    Online digital signature

    We are currently developing a new server-enabled technology for digital signatures to sign documents with a handwritten biometric e-Signature in a browser. The server itself can be localised at our client’s premises or in the cloud.?

    Powerful workflows supporting your business processes

    Every business has their own business processes related to processing legally binding documents requiring handwritten signatures. Our goal is to offer a solution that can be integrated into our client’s systems through standard integrations based on their specific needs. The solution is fully customisable and flexible.

    Signature biometrics

    During the act of signing we can collect static and dynamic biometric characteristics. To collect the dynamic features, such as pressure, we recommend to use mobile devices with a specific electromagnetic layer (EMR).

    The solution can be integrated with collection of other biometric markers such as facial biometrics, fingerprints or voice.

    Automating the work of contact center operators

    In our solutions, we can recognize human speech at the level of meaning (not only at the level of voice recognition). We work with conversation robot technology which can have and analyze dialogues with customers, determine their requirements and support the operator in providing a service.



    Innovations for the privacy, safety, and trustworthiness of users

    In addition to purchasing products from renowned suppliers for building information safety solutions, we use innovative components and configurations that we develop on our own based on experience obtained from operation support, addressing incidents and knowledge of risks. We offer a comprehensive solution ensuring the identification of the successful net penetration of an attacker.??




    We opened a project in 2007 within the ANAlab research and development laboratory to collaborate with university students. Students have the opportunity to work on interesting projects together with ANASOFT's experts within a project setting.

    The laboratory’s goal is to use the latest scientific knowledge and information and communication technologies to develop solutions that gradually become the basis for expanding the company’s portfolio of products and services.?


    In collaboration with the Faculty of Informatics and Information Technology at the Slovak University of Technology in Bratislava, we opened FIIT LAB – a research laboratory for the use of artificial intelligence in Smart Industry in 2018. Students worked with experts from ANASOFT in research groups. The laboratory is dedicated to researching the latest artificial intelligence methods for industrial applications.?

    More information

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