Hailo Helps Smart Cycling Lights Copilot, Leading The New Era Of Bicycle Safety

In the journey of intelligent technology -driven various travel methods, Velo AI has set up a new benchmark for the safety of bicycles with its innovative intelligent cycling lights.This revolutionary product cleverly blends the low -power computing power of the Strawberry Pai and Hailo's artificial intelligence processor, bringing road monitoring and security to the cyclist.

HailoHelp smart cycling lights Copilot, Leading a new era of safety of bicycles

Copilot:AIEmpowerment smart cycling lights and cameras

According to Alison Treaster, member of the Velo AI core team, 40%of the bicycle accident and death case stemmed from the rear impact.The launch of Copilot is to enhance the safety awareness of the cyclist, and at the same time reminds the drivers to pay attention to driving safety.Through the supporting mobile phone application, the cyclist can also view the rear road conditions videos in real time to further improve the safety guarantee during the cycling process.

As the first product of Velo AI, Copilot integrates artificial intelligence, riding lights and cameras.It takes the Strawberry Pi calculation module 4 as the core, which can accurately identify and distinguish the surrounding vehicles, predict overtaking behaviors, and even identify potential dangerous driving or distracted drivers.Once the potential danger is found, Copilot will immediately make a sound and visual alarm, not only remind the cyclist, but also warn the rear driver to prevent the occurrence of traffic accidents.

Challenge and breakthrough

Facing the limitations of existing bicycle cameras and vehicle detection equipment in the market, the Velo AI team is determined to create a more intelligent and efficient solution.Clark Haynes, co -founder and robotic expert of Velo AI, pointed out that although radar device similar to Garmin Varia can detect the rear objects, it cannot distinguish the type of vehicle and cannot accurately judge the distance between the vehicle and the cyclist.In contrast, cameras -based solutions can provide richer road conditions and help riders to make more accurate judgments.

Velo AIThe main challenges are how to cleverly integrate the camera, LED lights, electronic components, and battery packs into a compact and lightweight device.In addition, the device also needs to have sufficient performance to support the operation of artificial intelligence neural network while maintaining a lower power consumption level to ensure that it can meet the long -term riding needs.

In order to achieve this goal, the Velo AI team has undergone hardships, from the collection of massive cycling data to the development of artificial intelligence algorithms, each step condenses the wisdom and sweat of the team.As the first batch of testers, cycling enthusiasts in Pittsburgh provided valuable feedback to the improvement of Copilot.

HailoHelp smart cycling lights Copilot，Lead the new era of bicycles safety

The essence of the solution

CopilotThe core is its efficient and low -power design.The Strawberry Pi calculation module 4 is used as the brain of the device, supplemented by a customized Hailo artificial intelligence processor, and easily runs complex neural network algorithms, thereby achieving high -efficiency computer visual processing.The fixed -focus Arducam camera is responsible for capturing the video screen, and the compact and light body also integrates the LED light group, electronic component, and charging lithium battery to ensure the durable battery life during the cycling process.

HailoHelp smart cycling lights Copilot, lead the new era of bicycle safety

The device uses a charged dual -battery lithium ion battery as a power supply.Copilot's power consumption is only 4-5 watts, which means that the battery life can last about 5 hours.

The reason for choosing hailo

Velo AICEO Clark Haynes said that the Strawberry Pi calculation module 4 not only has excellent performance, but also has a low power consumption, which is very suitable for cycling scenes that require long -term battery life.In addition, its built-in Wi-Fi and Bluetooth function also facilitate the wireless connection and data transmission of the device.

According to Haynes, the team tried to use the NVIDIA Jetson board card as a hardware of the Copilot prototype in the early days, but found that they were not only expensive, but also the GPU's power consumption was too high.Even on the Jetson board, if the GPU wants to run at full speed, the power consumption will soar to 10 to 20 watts.However, our goal is to allow users to ride this device for four or five hours, which means that the battery needs to supply power for 10 watts of power for several hours, which will cause the equipment to generate a lot of heat.At the same time, in order to meet such battery life, we need a larger battery pack, which will also increase the weight of the equipment.Based on these considerations, we finally chose the Raspberry Pi.

Before the design partner of the Velo AI and contract manufacturers and the Raspberry Pi, Hellbender joined hands, the initial circuit board structure we designed was quite concise: we only need to insert the CM4 module on one side and insert the M.2 hailo module on the other side.And connect the camera.Such a simple combination is enough to prove that our calculation stack is effective.Since then, the performance of CM4 has been continuously optimized and improved.And more importantly, CM4, as a separate component that can work independently, all functions on it, including Wi-Fi and Bluetooth, can make full use of it.This provides a very ideal starting point for the launch of our project.

In order to achieve the ultra -low power consumption operation of artificial intelligence algorithms, VELO AIThe team introducedHailoArtificial intelligence processor.Clark Haynes emphasizes that the combination of strawberries and hailo makes the prototype design and development simple and efficient.This innovative combination not only greatly reduces power consumption, but also significantly improves the overall performance and response speed of the equipment.

HailoHelp smart cycling lights Copilot, lead the new era of bicycle safety

Look forward to the future

Velo AICEO Clark Haynes said: As a robot technology company focusing on personal mobile safety equipment, our goal is to use advanced technology to create a safer and convenient travel experience for cyclists.Copilot is not only a riding light and camera, but also an intelligent security guard who gives riders' sixth sense.We look forward to contributing to future street security through this technological innovation.

In Velo AICopilot of smart cycling lightsGloryBehind, the contribution of Hailo artificial intelligence processors cannot be underestimated.As one of the core components of this revolutionary product, Hailo provides strong technical support for Copilot's real -time road monitoring and precise hazardous warning for its excellent computing power and extremely low power consumption.

Velo AIThe team expects that Copilot can bring a broader and far -reaching positive impact on society.Haynes emphasized that the main reason why people do not often ride bicycles is that they lack a sense of security.Therefore, our core goal is to encourage more people to choose to ride bicycles and let them ride frequently because of their safety.

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