AI-körkép 2025: kilépett a csetablakból, belépett az életünkbe a mesterséges intelligencia

Artificial intelligence sniffs out forest fires

In many areas of the world, including Europe, extensive forest fires are an increasing threat. The key question is whether it is possible to recognize the unfolding disaster in time and take the necessary steps. Bosch’s intelligent forest and bushfire detection solution is able to “sniff out” the first signs of a developing fire in forests, recreation areas, and natural environments close to infrastructure and residential areas based on smoke gases in the air. The sensors are placed around the vegetation area and use an AI-based algorithm to detect smoke gases appearing in the early stages of smoldering, before a larger fire develops. Using artificial intelligence, the system automatically evaluates the composition of the gas mixtures, records and transmits the location of the smoke detection, temperature and weather data, including wind direction and wind speed, to a control center. Bosch’s system can even send drones to the fire scene, which can help with aerial photography and high-resolution live video for successful intervention. Thanks to the built-in solar panel, the outdoor sensors are energy-self-sufficient and can be recharged even in cloudy weather or under a canopy.

Hears for us, sees for us: security voice recognition and a smart camera system can look after our homes

What good are home alarm systems if no one hears the alarm and can’t take action? Whether it’s a break-in, fire, burst pipe, or leak – quick response is key to minimizing damage. Bosch introduced intelligent Security+ services this year: smart camera functions, automatic sound analysis, security footage transmitted to the cloud and – at least in Germany – a 24/7 emergency center make home security even more complete. The microphones of the indoor smart cameras can detect, for example, the sound of breaking glass or the signals of smoke and carbon monoxide detectors, so that in the event of danger, an alarm can be immediately sent to the owner or the emergency center. Cloud backup ensures that no important footage is lost, which may be needed by the insurance company, the police or other authorities.

Smart crib saves lives and lulls you to sleep

Safe sleep for newborns and young children is an important desire of every family, while parents’ restful night’s rest is also a top priority. Bosch’s AI-supported smart crib is based on monitoring vital functions such as heart rate and breathing rate. The smart crib’s software warns you in time if, for example, a stuffed animal or blanket may be blocking the airways, but it also notifies parents if the child starts crying in their room. If the newborn has difficulty falling asleep, the smart crib can even automatically rock the child to sleep.

Instead of a private chef, an AI oven can serve dinner

Bosch’s smart oven can recognize around 80 types of prepared food on its own using built-in sensors, cameras and artificial intelligence. The device uses sensor data and continuously learning algorithms to manage and optimize the entire cooking process. All the user has to do is set the desired browning level according to taste and enjoy their dinner.

Self-learning fitness sensor helps with reliable performance measurement

Today, it is almost a basic requirement to be able to reliably record and then evaluate the training work performed, as well as the current reactions and parameters of our body, while exercising. This is a relatively easy task during longer, steady workouts, but it is an increased challenge in complex and rapidly alternating forms of exercise that contain explosive elements – such as boxing, tennis, crossfit or interval training. Fitness bracelets and smartwatches based on Bosch’s motion sensor are able to reliably recognize extremely dynamic training routines and provide detailed feedback on their execution. The sensor is an intelligent measuring unit with self-learning AI software that allows the smart sensor to learn new movement sequences for the abdomen.

End of range anxiety

Electric bikes are becoming increasingly popular, but many people fear that their batteries will run out too early and at the worst possible moment. Artificial intelligence can be a useful companion in this too, as it helps to dispel unnecessary worries about range. With Bosch’s AI-based Range Control function, e-bikers can set the battery charge they want to reach their destination in the app before setting off. Artificial intelligence automatically adjusts the electric assistance during the ride, taking into account factors such as the system weight, i.e. the total weight of the bike, the cyclist and the equipment, the gradient of the road or the cyclist’s individual riding style.

In search of inner secrets: the intelligent wall scanner also detects hidden objects

The older a building is, the more secrets and technical challenges its walls hide. All of this is often not visible from the outside and is not properly documented. Bosch’s AI-powered wall scanner combines multiple sensor technologies with AI-based object recognition. The new solution makes it easier and more reliable to identify various materials and objects inside walls, such as pipes, electrical cables, beams or even hollow spaces. As a result of this innovation, radar signals are processed by increasingly advanced AI algorithms and neural networks, making the work of specialists more accurate and safer.

Deep learning production lines: safety, precision and reliability in the battery industry

In the rapidly developing battery industry, manufacturing precision is crucial for the performance and reliability of battery modules and battery packs. These systems consist of multiple cells that are connected by laser welding, and even minor deviations can impair the efficiency and safety of the entire battery. Bosch’s innovative AI-based industrial solution offers automated optical measurement, real-time data processing and optically controlled continuous laser welding with unprecedented speed and accuracy. The innovative technology, which also uses deep learning models, not only enables an efficient and high-quality manufacturing process, but also improves the long-term reliability and safety of battery packs, meeting the growing expectations of electric vehicle manufacturing, the renewable energy industry and consumers.