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NetraDyne

If you're going to point a finger at your driver we suggest, thumbs up!
United States
San Diego
2015
Private
< $10m
51 - 200
Open website
At NetraDyne, they are creating a unique end-to-end IoT solution pushing Deep Learning processing to the edge. They are well positioned to leverage the growing trend where video is driving advanced analytics and business intelligence. Through processing visual and sensory inputs, they are targeting industries where timeliness of actionable data is a key differentiator of performance. There is a continuing technology movement that is driving rapid improvements in camera technology together with reductions in the cost of sensors, processing, and connectivity. These improvements, along with advancements in deep learning technology, have created a perfect opportunity to deliver vision based solutions across multiple industries.
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Netradyne provides cutting-edge technologies in Artificial Intelligence, Machine Learning and Edge Computing to help reduce accidents by creating a new safe driving standard for commercial vehicles. Our industry solutions reduce driving incidents and protect against false claims. We empower drivers by providing them with more awareness of risky driving behavior and reward safe driver decision-making.
Legacy systems have spent years addressing unsafe driving, but do very little to encourage drivers to improve their performance. The Driveri? vision-based safety solution captures and analyzes every moment of driving time, and recognizes exceptional performance at all times, providing the information you need as a fleet manager to provide meaningful and productive feedback for your drivers.
Real-time, crowdsourced, high-definition maps using commercially deployed Driveri devices. Over 100 million minutes captured and analyzed to improve transportation data analytics for commercial applications.
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Halvor Lines, Ward Transport and Logistics Corp., LeSaint Logistics, Vascor Logistics
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NetraDyne is a provider of Industrial IoT application infrastructure and middleware, analytics and modeling, processors and edge intelligence, sensors, and functional applications technologies, and also active in the automotive industries.
Technologies
Sensors
Accelerometers
Camera / Video Systems
GPS
Gyroscopes
Magnetometers
Application Infrastructure & Middleware
Data Visualization
Processors & Edge Intelligence
Embedded & Edge Computers
Functional Applications
Fleet Management Systems (FMS)
Analytics & Modeling
Computer Vision Software
Use Cases
Driver Performance Monitoring
Fleet Management
Object Detection
Functions
Logistics & Transportation
Industries
Automotive
Services
Software Design & Engineering Services
NetraDyne’s Technology Stack maps NetraDyne’s participation in the application infrastructure and middleware, analytics and modeling, processors and edge intelligence, sensors, and functional applications IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies1
Halvor Lines Enhances Driver Safety with Netradyne Driveri®
Halvor Lines, a trucking company with a strong commitment to driver safety, was facing the challenge of protecting their drivers and the company from false claims in an increasingly litigious environment. The company was in search of a video and vision-based recognition safety program that could align with their existing driver safety and recognition strategies. They wanted a solution that would not only strengthen their industry-leading initiatives but also be driver-friendly, helping to develop driver skills and enhance positive safety habits. The solution needed to provide significant value without requiring the inside lens of the truck to be turned on, a feature that could potentially alienate drivers.
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