Waylens created the next generation of Video Telematics AI for edge by integrating Brodmann17’s perception software into their edge cameras. Waylens chose Brodmann17 to collaborate with, to deliver Video Telematics AI for edge cameras to provide perception software for their fleet management systems. Together the two companies will enable the deployment of Brodmann17’s automotive-grade ADAS and active safety solutions to vehicle fleets via the Waylens Secure4K device, and other innovative solutions powered by the Waylens Platform. Waylens is a US company headquartered in Boston. It provides fl ..read more

The Challenge A leading Tier-1 automotive company wanted to add Wing Camera AI to their Camera Monitoring Systems (CMS) to primarily reduce accidents but also to comply with new legislation coming in. They needed not only a comprehensive solution, but also a solution that would add benefits to trucks and the truck drivers themselves. Maneuvering a truck with a trailer in parking lots, small streets, or docking bays often poses a challenge to even the most experienced of drivers. Many factors have to be calculated in real-time and mistakes can lead to damage to the truck and its surroundings ..read more

Together we’re building the future of mobility  The power of computing has long been a part of our cars. In-car infotainment makes them more entertaining; engine-management systems make them more powerful, efficient and cleaner while antilock braking makes them safer. Recent advances in processing power and perception software have led to Advanced Driver Assistance Systems (ADAS) becoming more commonplace, making our cars more comfortable to drive but more importantly safer for everyone: drivers, passengers, other road users and the public in general. At Brodmann17 we specialize in percep ..read more

  Current Challenges For Video Telematics Service Providers There are many reasons why Video Telematics Service Providers (VTSPs) should use cloud-based perception software. Nearly every new telematics device deployed for a fleet application has a built-in accelerometer that monitors g-forces applied on the vehicle. These g-force inputs are translated into driving events such as harsh acceleration, harsh braking and harsh cornering, however, they also create false alerts from potholes and sleeping policemen. These events are compiled to build a driver’s safety score, which is used by ..read more

Successful ADAS Level 3 test at Peachtree Corners   The Challenge: Where does new technology go to be tested in a real-world environment? This is a major issue, especially when it comes to testing technology on the road, that if it goes wrong could have major repercussions! This is where Curiosity Lab at Peachtree Corners comes in. This is a living laboratory for technology “graduating” from a closed environment. The Lab consists of a 5G-enabled 3-mile autonomous vehicle test track and smart city laboratory within an existing 500-acre technology park where thousands of people and vehicles ..read more

  The human brain is developed from a huge network of neurons. Deep learning is basically an effort to create models that mimic the function and structure of the brain.     Training Models In Deep Learning   Like any machine learning algorithm, deep learning is trained by exposing the model to many different data examples. Through this training process, the neural network begins to recognize similar objects, and the network can begin to predict what the data represents.   For instance, if we want to train a model that can recognize a car, then after each iteration we ..read more

  Together we’re building the future of mobility   The power of computing has long been a part of our cars. In-car infotainment makes them more entertaining; engine-management systems make them more powerful, efficient and cleaner while antilock braking makes them safer. Recent advances in processing power and perception software have led to Advanced Driver Assistance Systems (ADAS) becoming more commonplace, making our cars more comfortable to drive but more importantly safer for everyone: drivers, passengers, other road users and the public in general.  At Brodmann17 we ..read more

Deep learning on neural networks has been with us from as early as the 1960s. However, several advancements in the field such as the neuron layers types, the way you train the neural network, the amount of data available to train with as well as the processing power, have now made deep learning more practical to use.    One of the first major breakthroughs came around 2012. At that time the academic research community struggled with the challenge of classifying millions of images into a thousand different categories. Alex Krizhevsky managed to do this through some very clever engin ..read more

The human brain is developed from a huge network of neurons. Deep learning is basically an effort to create models that mimic the function and structure of the brain. Training Models In Deep Learning Like any machine learning algorithm, deep learning is trained by exposing the model to many different data examples. Through this training process, the neural network begins to recognise similar objects, and the network can begin to predict what the data represents. For instance, if we want to train a model that can recognise a car, then after each iteration we would ask the model what it thinks t ..read more

Brodmann17 Joins the 5G Open Innovation Lab to Bring Their Expertise in Automotive-Vision to The Lab’s Corporate Partners   TEL AVIV, ISRAEL, October 4th, 2021 – Brodmann17 has joined the 5G Open Innovation Lab (5GOILab) to bring their expertise in automotive-vision to the Lab’s impressive line up of world renowned corporate partners: Accenture, Amdocs, Avanade, Dell Technologies, Ericsson, F5, Intel, Microsoft, Spirent, T-Mobile and VMware.   The 5GOILab is a global applied innovation ecosystem making it easy for innovators, global platforms, and enterprises to work together and inn ..read more