What makes us different from our competitors?
Simply juggling technologies out of the hat is of course not enough to reach customers and target groups efficiently.
For us, "Think Concept First" means carefully analysing business models, target groups and processes and, based on these results, developing a relevant strategy for your product with them.
First of all, we think far ahead for you - and then implement your product with the help of the latest cuting edge technologies.
Development of individual software enables companies to use or create competitive advantages.
An important aspect of a company's success is its ability to outperform its competitors through individual services.
Two important approaches have to be mentioned:
What we have observed in recent years is related to the automation of existing processes. These tasks are starting with the digitalization of administration and ends with the digitalization of production processes.
The second approach deals with services that would not even be possible without digitalization. This is not about optimizing existing processes, which could be done more or less efficiently by humans, but about developing completely new applications that would not be conceivable or feasible without the support of computers.
The hype about artificial intelligence, machine learning and neural networks of the last two years has suddenly shown that a number of cognitive abilities previously reserved for humans can be simulated by computers. These technological possibilities open up new business models, products or product features.
Development of individual software based on good ideas
We at jkaref believe that the current framing of Artificial Intelligence in the media is an major contribution to agenda-setting. The topic is being discussed and in one way or another dominates the current discussion about digitization.
Companies that want to understand how the potential of these technologies can be harnessed need consulting whose understanding begins with the customer's needs and can then assess what is technically practicable.
The video shows a simple example of an application that evaluates the recordings of a surveillance camera in order to identify people and objects. People, tables and chairs are detected. Lamps are linked to each person in the room. These lamps are switched on when the person moves. A task that would have been very difficult to solve with conventional movement-detectors.
Business Case Energy Saving
What the viewer cannot see on the moody video is the connection to LCN (Local Control Network), the building management system of Issendorf from Hanover. The behaviour of the users recorded by the camera has a direct influence on the actions in building management. The LCN system can gather the following sensor data:
- Lighting conditions
- CO2 indoor air quality
- Motion detector
- Weather data, wind speed, rainfall, temperature
- Electrical actuators can be used to switch electrical equipment directly.
Machine learning on the basis of image recognition (video data), control actuators and sensor data can reduce the energy consumption of a building by systematically obtaining data from the (apparently unpredictable) user behaviour and using them to suggest savings.
Energy optimisation is a challenge for the commercial industry. The potential of machine learning for energy optimization was recognized by Google several years ago.
In these surroundings, the multitude of possible device combinations and their target values make it difficult for planners and operators to determine where the optimum efficiency of a facility lies.
In an ongoing production process, it is difficult to establish the optimum mechanical and electrical equipment and software and their control strategies and setpoints due to the many possible combinations of a facility. Testing each individual combination of characteristics in order to maximise efficiency is impractical.