Subscribe Find out first about new and important news
Hack tracks BCX20

Which challenge will you tackle?

At BCX20, which took place in Berlin, Germany, attendees chose between different hack tracks, ranging from mobility, to manufacturing, to smart home, tech for climate, insurances, and more. Some hack tracks focused on ideation, others on problem solving, and still others are a data deep dive – no matter which one they chose, they took on an exciting IoT challenge.

#1 Process intelligence

Developers took a closer look at the process data from Bosch and other production partners. By analyzing this data, they were able to improve production in modern industry and solve the challenges facing manufacturers in everyday practice.

#Manufacturing #Industry4.0 #Process #BigData

#4 Asset tracking

Developers searched for tools, parts and products in the working environment eats up valuable working time. Wouldn’t it be wonderful to know at any time where you left things? They combined collected tracking data and various tools with live sensor data to solve these everyday problems in a factory.

#Manufacturing #Industry4.0 #Assets #Tracking #GeoLocalization

#7 Connected parking

The daily search for a parking space not only costs time and money, but also leads to frayed nerves. Hackers developed solutions that completely simplify parking from the search for a parking space to the actual parking – whether on the street or in the parking lot.

#Mobility #ConnectedMobility #Parking #ConnectedParking #GeoLocation #Routing

#10 Drive your home experience

Hackers used data analysis and AI to take your home experiences to a new level. They found patterns and derive automations that can proactively improve the daily IoT experience in private households.

#SmartHome #HomeAutomation #AI #BigData

#12 Zero emission

Developers & hackers applied AI, data science and machine learning to help a production facility become emission-free. The goal was to balance the local energy production of the plant with the energy consumed by the production operation.

#EmissionFree #TechForClimate #BigData #AI #MachineLearning

#2 Predictive maintenance

Many technicians keep asking themselves the question: When does the machine or the compensator break down? The problem is omnipresent, but the solution is not universal. Developers analyzed numerous data from BMW and other customers to find algorithms that make the life of a maintenance technician easier.

#Manufacturing #Industry4.0 #PredictiveMaintenance #BigData

#5 Connect the shop floor

Running around the shop floor to manually query machine statuses is inefficient and prevents operators from having a holistic view of the entire production process. Therefore, the connection of sensors, PLC, machines, and gateways is essential for this process. Hackers combined the provided devices with our software layer to generate added value from the data in a production plant.

#Manufacturing #Industry4.0 #Connectivity #Shopfloor

#8 Save the grid

With our lifestyle, we are all dependent on an energy network that supplies power reliably. In order to guarantee this reliability in future, we are counting on your ideas. Developers combined a huge data set of individual load profiles with machine learning, AI and data science to help the power grid remain cost-effective and reliable.

#EfficientEnergy #SmartGrid #Sustainability #TechForClimate #AI #BigData

#11 Smart insurance

Digitalisation is turning the insurance industry upside down. The development of solutions for immediate claims settlement, contact with customer inquiries via social media, and the use of IoT solutions in households are some examples of the current demands on insurance companies to improve lives.

#SmartInsurances #InsureTec

#13 Grow clean air

Moss is the secret weapon for cleaning polluted air. Combined with IoT sensors, moss combats urban air pollution. Based on a data set and live data samples discover the answers to questions like: Which climatic conditions favour the reduction of air pollution and how is the pollution influenced by our filter from living plants and vice versa?

#TechForClimate #Moss #Climate #AirPollution #AI #BigData

#3 Explainable AI

Hackers used different data sources such as machine data, sensor data, and images to train algorithms. They solved the big challenge of how to present the result to the user in an easy to understand way. Developers used visualizations, text to speech and many other technologies to make AI results usable and accessible for everyone!

#Manufacturing #Industry4.0 #BigData #AI #Algorithms

#6 Micromobility

Hackers developed micromobility vehicles is often the fastest mode of transport available in urban traffic. They used location data, bike data, rider data and other custom sensor input in real time to create use cases around the eBike.

#ConnectedMobility #eBike #Micromobility #GeoLocation #Routing #Biking

#9 Build your smart home

Hackers made your home more secure, energy-efficient and comfortable to live in. They built smart apps and prototypes by monitoring and controlling door and window contacts, motion detectors, cameras, home appliances and much more smart home devices.

#SmartHome #Security #HomeMonitoring

#14 Next level controls for sustainability

Have you ever wanted to write software not only for toys, but for real cars, agricultural and construction vehicles? As easy as a maker kit – adding machines, I/O and write & publish features? With our next level controls developers could maked the difference for seamless automation and real sustainability.

#Sustainability #Control #SeamlessAutomation #Automation

#1 Process intelligence

Take a closer look at the process data from Bosch and other production partners. By analyzing this data, you can improve production in modern industry and solve the challenges facing manufacturers in everyday practice.

#Manufacturing #Industry4.0 #Process #BigData

#2 Predictive maintenance

Many technicians keep asking themselves the question: When does the machine or the compensator break down? The problem is omnipresent, but the solution is not universal. Analyze numerous data from BMW and other customers to find algorithms that make the life of a maintenance technician easier.

#Manufacturing #Industry4.0 #PredictiveMaintenance #BigData

#3 Explainable AI

Use different data sources such as machine data, sensor data, and images to train algorithms. Solve the big challenge of how to present the result to the user in an explainable way. Use visualizations, text to speech and many other technologies to make AI results usable and understandable for everyone!

#Manufacturing #Industry4.0 #BigData #AI #Algorithms

#4 Asset tracking

Searching for tools, parts and products in the working environment eats up valuable working time. Wouldn’t it be wonderful to know at any time where you left things last? Combine collected tracking data and various tools with live sensor data to solve these everyday problems in a factory.

#Manufacturing #Industry4.0 #Assets #Tracking #GeoLocalization

#5 Connect the shop floor

Running around the workshop to manually query machine statuses is inefficient and prevents operators from having a holistic view of the entire production process. Therefore, the connection of sensors, PLC, machines, and gateways in a workshop is essential for this process. Combine the provided devices with our software layer to generate added value from the data in a production plant.

#Manufacturing #Industry4.0 #Connectivity #Shopfloor

#6 Micromobility

Using micromobility vehicles is often the fastest mode of transport available in urban traffic. Use location data, bike data, rider data and other custom sensor input in real time to create use cases around the eBike.

#ConnectedMobility #eBike #Micromobility #GeoLocation #Routing #Biking

#7 Connected parking

The daily search for a parking space not only costs time and money, but also leads to frayed nerves. Develop solutions that completely simplify parking from the search for a parking space to the actual parking – whether on the street or in the parking lot.

#Mobility #ConnectedMobility #Parking #ConnectedParking #GeoLocation #Routing

#8 Save the grid

With our lifestyle, we are all dependent on an energy network that supplies us reliably. In order to guarantee this reliability in future, we are counting on your ideas. Combine a huge dataset of individual load profiles with machine learning, AI and data science to help the power grid remain cost-effective and reliable.

#EfficientEnergy #SmartGrid #Sustainability #TechForClimate #AI #BigData

#9 Build your smart home

Make your home more secure, energy-efficient and comfortable to live in. Build smart apps and prototypes by monitoring and controlling door and window contacts, motion detectors, cameras, home appliances and much more smart home devices.

#SmartHome #Security #HomeMonitoring

#10 Drive your home experience

Use data analysis and AI to take your home experiences to a new level. Find patterns and derive automations that can proactively improve the daily IoT experience in private households.

#SmartHome #HomeAutomation #AI #BigData

#11 Smart insurances

Digitalisation is turning the insurance industry upside down. The development of solutions for immediate claims settlement, contact with customer enquiries via social media, and the use of IoT solutions in households are some examples of the current demands on insurance companies to make life better.

#SmartInsurances #InsureTec

#12 Zero emission

Apply AI, data science and machine learning to help a production facility become emission-free. The goal is to balance the local energy production of the plant with the energy consumed by the production operation.

#EmissionFree #TechForClimate #BigData #AI #MachineLearning

#13 Grow clean air

Moss is the secret weapon for cleaning the polluted air. Combined with IoT sensors, moss combat urban air pollution. Based on a data set and live data samples discover the answers to questions like: Which climatic conditions favour the reduction of air pollution and how is the pollution influenced by our filter from living plants and vice versa?

#TechForClimate #Moss #Climate #AirPollution #AI #BigData

#14 Next level controls for sustainability

Have you ever wanted to write Software not only for toys, but for real cars, agricultural and construction vehicles? As easy as a maker kit – adding machines, I/O and write & publish FEATURES? With our Next Level Controls you can make the difference for seamless automation and real sustainability.

#Sustainability #Control #SeamlessAutomation #Automation