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  6. [Case Study] Preventing Accidents Caused by Human Error with AI Vision

[Case Study] Preventing Accidents Caused by Human Error with AI Vision

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NEON AI Smart Camera Series

last updated:Dec 14, 2021

ADLINKジャパン 東京本社
ADLINKジャパン 東京本社
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Prevent accidents caused by human error when unloading hazardous chemicals from tankers using AI vision.

Tank trucks are one of the most common and efficient means for chemical manufacturers to transport liquid and gaseous chemicals to industrial production facilities. Chemicals can be corrosive, explosive, flammable, or toxic. If hazardous chemicals leak, they can cause long-term damage to people and the environment. However, being human, tank truck drivers and storage tank operators inevitably make mistakes or become distracted during unloading. An analysis of over 1,600 hazardous chemical incidents revealed that 65% of these accidents were due to human error. With the maturation of deep learning technology, AI-enabled machine vision solutions such as IP surveillance cameras and industrial smart cameras have become capable of monitoring the entire chemical unloading process and detecting anomalies before human accidents occur. Combining IP surveillance cameras with AI network video recorders (NVRs) provides installation flexibility, but transmission delays remain an unresolved issue. Industrial smart cameras integrated with machine learning algorithms have become feasible and have been introduced in manufacturing plants to prevent the occurrence of human errors.

    Image Processing EquipmentIndustrial PCs
1200x628_jp01.jpg

[Case Study] Preventing Accidents Caused by Human Error with AI Vision

1200x628_jp01.jpg
1200x628_jp01.jpg
  • Prevent accidents caused by human error when unloading hazardous chemicals from tankers using AI vision.
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◆Advantages of ADLINK's NEON AI Smart Camera Easy deployment with an all-in-one design NEON integrates Intel Movidius or NVIDIA Jetson AI vision processing cores, a wide range of image sensors, an optimized OS, and rich I/O for vision applications into a palm-sized enclosure, minimizing the complexity of cabling and installation space requirements. ◆Optimized software environment for faster development NEON comes with a pre-installed optimized operating system, software, and Edge Vision Analytics (EVA) SDK. The EVA SDK supports NVIDIA TensorRT and Intel OpenVINO AI inference engines, as well as field-adaptable application plugins to streamline the development time for AI vision projects.

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Model number overview
NEON-1000-MDX Industrial AI smart camera based on Intel Movidius Myriad for edge applications
NEON-2000-JT2 Industrial AI smart camera based on NVIDIA Jetson TX2 for edge applications
NEON-2000-JT2X Industrial AI smart camera equipped with NVIDIA Jetson TX2 (IP67 compliant)
NEON-2000-JNX Industrial AI smart camera for edge applications equipped with NVIDIA Jetson Xavier NX

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Edge AI Machine Vision Solution - Catalog

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AI Camera Dev Kit

AI Camera Dev Kit

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AI Smart Camera NEON-2000-ONO Series

AI Smart Camera NEON-2000-ONO Series

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AI Smart Camera NEON-2000-JNO Series

AI Smart Camera NEON-2000-JNO Series

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ADLINKジャパン

ADLINKジャパン 東京本社

Industrial Electrical Equipment

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【ADLINK Japan's Concept】 To let more Japanese customers know about the quality of Taiwanese products and to encourage their adoption. In order to provide the highest quality and high-performance products, we are committed to thorough CQD (Cost, Quality, Delivery) practices to meet our customers' needs. Thus, we established ADLINK Japan Co., Ltd. with the aim of providing customer-first services and support. 【ADLINK Japan's Quality Policy】 - Customer First Principle - Complaint First - Zero Defect Rate We aim for these goals. 【Why Choose ADLINK】 - Stable long-term supply (over 5 years) - Regular quality improvement plans (CCC) - Diverse standard products and contract development available - Speedy analysis capabilities - Japanese language support (both sales and technical) - Local support - Environmental compliance (e.g., ROHS) 【About Our Privacy Policy】 https://www.adlinktech.com/jp/PrivacyPolicy

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