Harbinger的动态

Safety is a priority at Harbinger. They are leading the EV landscape with their innovations and vertical integrated systems.

Every year, thousands of preventable car accidents claim lives or cause injuries, often due to drivers losing focus, resulting in lane drifting and unintentional lane departures. To combat this, leading automotive companies like #BMW have taken significant steps. BMW, for instance, has integrated advanced #drivermonitoringsystems into their vehicles, focusing on enhancing safety through technology. These systems utilize cameras mounted on the instrument cluster to keenly observe the driver's facial expressions and eye movements, significantly reducing the risk of accidents. Behind the scenes of this innovative technology lies the power of #computervisionmodels, which are pivotal for the system's operation. However, these models rely on high-quality, accurately annotated #datasets to function effectively. #Keypoint and #boudingbox play a crucial role here, enabling the precise labeling of facial expressions and eye movements. This process ensures the creation of #highqualitydatasets that significantly contribute to the effectiveness of #AImodels in preventing accidents caused by distracted driving. Looking to develop or enhance driver monitoring systems with top-notch datasets? #BasicAI offers the expertise and tools necessary to achieve this, ensuring your projects reach their highest potential in promoting road safety. ?? Free Annotation Platform: https://lnkd.in/gdpJAEd3 ?? Annotation Services: https://lnkd.in/g7ktdFsX #AI #RoadSafety #DriverMonitoring #AIinAutomotive #DataAnnotation #SafeDriving #autonomousvehicles #BMWInnovation

Building AI and human capital for road safety Nimmi Rangaswamy Yug Dedhia, Anjali Singh, Vaibhav Singh Tomar & Dev Singh Thakur Interesting information about Advanced driver assistance systems (ADAS), and role of AI in ADAS. Using capabilities approach, authors presented the benefits of AI driven technologies to enhance road safety. Research objective: Explore EDAS through anthropologic lens Research context: Bus drivers, their voices and perspectives. Methodology: Interviewed 32 drivers, attended multiple driving training seminar, five bus trips for observations, comprehensive tour of two bus depots. Findings: Drivers are enrolled in ranking systems - based on alert system linked to EDAS Lack of agency becomes a serious issue Many issues are beyond drivers' control (poor quality of roads, poor road discipline by other vehicles - two wheelers - that results in alerts) Drivers thinks of ADAS as recording keeping of alerts rather than as system supporting avoidance of accidents Conclusion: AI supported ADAS system should be used as supportive system rather than as record keeping system of drivers' mistakes/ alerts GlobDev Workshop, #ICIS2023

Arm is paving the way in the #automotive industry by utilizing AI to revolutionize safety standards. —Their goal? *ZERO ACCIDENT DEATHS* ??Discover how Arm is driving this significant shift and influencing the future of automotive electronics. #automotivesafety #artificialintelligence #safetystandards #ARM #AI #Innovation #FutureofMobility Read more ??

Meet John and Scott, fleet managers overseeing 1000 vehicles and 1500 drivers. Their secret weapon? Edgetensor's portal- revolutionizing fleet management by prioritizing actionable insights, enhancing safety, and optimizing efficiency. With Edgetensor, they commend safe drivers, improve performance through coaching, and explore advanced features like ADAS and DMS. Learn how Edgetensor can empower your fleet today! Visit https://edgetensor.ai #fleetmanagement #safety #ai #datadriven #profitability #innovation #efficiency #drivesmart #drivesafe #tsp #videotelematics #fleetsafety #aitechnology #edgetensor #roadsafety #analytics #drivers

Enhance Object Detection with image blending using Ultralytics YOLOv8! ?? What is Image Blending? Image blending entails detecting objects in an image and combining them with image masking to create a blended visual output. Whether you're working in surveillance, autonomous driving, or any field requiring precise image analysis, YOLOv8's capabilities can streamline your workflow, enhance your data accuracy, and improve your overall productivity. Learn more ?? https://ow.ly/Rceb50SGHoO #ComputerVision #YOLOv8 #ObjectDetection #ImageBlending #AI

?? Revolutionizing Subway Maintenance: Introducing Shenhao's TVIS2000 Train Bottom Inspection Robot! ???? Traditionally, subway vehicle inspections relied on manual visual checks, presenting challenges like poor working conditions and high labor intensity. Shenhao Technology has stepped up the game with the TVIS2000, a cutting-edge robot that's changing the maintenance landscape. ?? Key Features: ? Autonomous navigation ? Robotic arm with wheeled motion platform ? HD optical imaging ? Image pattern recognition ? AI deep learning algorithm This intelligent robot performs 2D or 3D high-definition imaging of crucial maintenance points under the vehicle, smartly assessing the condition of key components for automatic detection, intelligent analysis, and fault diagnosis. ?? Core Functions: ? Undertrain defect recognition ? Train-side defect recognition ? Intelligent positioning and alarm for defects ? Backend management system ? Autonomous positioning and navigation ? Autonomous transfer and charging But here's the game-changer – Shenhao TVIS2000 can collaborate with multiple robots simultaneously, addressing existing limitations like track switching issues and detection blind spots, boasting an impressive average fault recognition rate of over 98%. ?? Benefits: ? "Human-robot combination" maintenance mode ? Improved efficiency and stability ? Enhanced safety and quality in maintenance operations ? Technical support for optimized operation scheduling #innovation #subwaymaintenance #robotics #technology

Best IDEA for Rack Maintainance! The recording will be useful in case accident takes place to locate negligence if any !

The advent of advanced train bottom inspection robots, equipped with autonomous navigation, AI algorithms, and high-definition imaging, is transforming subway maintenance, making it more efficient and accurate. This innovative approach enhances safety, quality, and efficiency in maintenance operations, setting a new standard in the field and revolutionizing the traditional maintenance model. #RailwayInnovation #RoboticMaintenance #AIInspection #EfficiencyEnhancement #SafetyFirst ?????? Thanks for sharing!

As AI continues to advance, the concept of autonomous fleet management is quickly becoming a reality. Soon, transport fleets will manage themselves—monitoring vehicle conditions, optimizing routes, and predicting maintenance needs—all without human intervention. This could lead to significant cost savings, reduced emissions, and improved operational efficiency. ?? Key benefits include: 20% reduction in maintenance costs through predictive AI monitoring 15% increase in fuel efficiency via real-time route optimization Significantly less downtime due to early detection of mechanical issues At VisionDrive, we are excited to see how AI will drive these innovations forward and transform the logistics industry. How do you think AI can improve fleet management? #AIFleetManagement #AIInTransport #LogisticsTech #InnovationInTransport #VisionDrive