国産産業用ドローンのACSL

Autonomous
Control
Systems
Laboratory

Autonomous
Control
Systems
Laboratory

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Inspection drone with automatic still image upload and AI-based degradation detection

ACSL has automated pipeline inspection process. The end-to-end system autonomously captures images, uploads the images to the cloud, analyses with AI, and develops inspection reports. On-board 20 MP inspection camera collects high-quality images from hard-to-reach places.

  • ドローンにとりつけたカメラ
  • インフラ点検用ドローンACSL-PF2
  • スペック
  • ドローンにとりつけたカメラ
  • インフラ点検用ドローンACSL-PF2
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KEY FEATURE

Automatic still image upload and AI-based degradation detection

Previously, drones were just used to collect images. In this system, drone collects geo-tagged images and automatically uploads them to cloud storage upon landing. Stored images are then processed using damage recognition AI. This end-to-end solution enables to reduces time and cost of inspection workflow.

FEATURES

  • AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT

    FEATURE 01

    AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT
    Enables AI evaluation on the cloud system
    AI based image analysis software that runs on the cloud provided by Accenture, Inc. enables to judge the damages automatically. (e.g. pipe corrosion, oil tank leaks, etc.) This system provide a complete range of services, from flight photography to image analysis and inspection reports.
  • AUTOMATICALLY STILL IMAGE UPLOAD

    FEATURE 02

    AUTOMATICALLY STILL IMAGE UPLOAD
    Automatic upload of captured still images to the cloud
    The system automatically upload the images captured by the drone to the cloud after flight. Automatic upload function eliminates to export the still image manually. That allows you to work more efficiently.
  • AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT

    FEATURE 01

    AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT
    Enables AI evaluation on the cloud system
    AI based image analysis software that runs on the cloud provided by Accenture, Inc. enables to judge the damages automatically. (e.g. pipe corrosion, oil tank leaks, etc.) This system provide a complete range of services, from flight photography to image analysis and inspection reports.
  • AUTOMATICALLY STILL IMAGE UPLOAD

    FEATURE 02

    AUTOMATICALLY STILL IMAGE UPLOAD
    Automatic upload of captured still images to the cloud
    The system automatically upload the images captured by the drone to the cloud after flight. Automatic upload function eliminates to export the still image manually. That allows you to work more efficiently.
  • AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT

    FEATURE 01

    AI-BASED IMAGE ANALYSIS AND DAMAGE LEVEL JUDGEMENT
    Enables AI evaluation on the cloud system
    AI based image analysis software that runs on the cloud provided by Accenture, Inc. enables to judge the damages automatically. (e.g. pipe corrosion, oil tank leaks, etc.) This system provide a complete range of services, from flight photography to image analysis and inspection reports.
  • AUTOMATICALLY STILL IMAGE UPLOAD

    FEATURE 02

    AUTOMATICALLY STILL IMAGE UPLOAD
    Automatic upload of captured still images to the cloud
    The system automatically upload the images captured by the drone to the cloud after flight. Automatic upload function eliminates to export the still image manually. That allows you to work more efficiently.
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Autonomous flight for
close visual inspection
under bridges and indoors
FACILITY INSPECTION

SCENE 01

FACILITY INSPECTION
With the use of drones, inspection of plant facilities can be done remotely and safely. Regular monitoring of analog meters was conducted by human inspector, however, this can be automated by patrol drones.
PORT FACILITY MONITORING

SCENE 02

PORT FACILITY MONITORING
In port facilities, drones can be used to monitor containers, vehicles, and warehouses.
CONSTRUCTION SITE MONITORING

SCENE 03

CONSTRUCTION SITE MONITORING
Drones with cameras can provide construction site managers with an ideal solution for monitoring daily progress and condition of the site.

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スペック
STRUCTURE
Width
1173 ㎜
Height
654 ㎜
Weight incl. 1 battery
7.07 ㎏
COMMUNICATION SYSTEM
Radio controller
2.4 GHz
Telemetry link
920 MHz
FLIGHT CONTROL SYSTEM
Autopilot
ACSL AP 3
PERFORMANCE
Flight speed(autonomous)
Horizontal: 10 m/s　Ascend: 3 m/s　Descend: 2 m/s
Altitude
150 m (Civil Aeronautics Law)
Wind resistance
10m/s
Maximum flight time
29 min (with no payload)
Maximum pay load
2.75 ㎏
BATTERY
Capacity
12,000 mAh x2
Normal Voltage
22.2 V
Battery type
LiPo 6s
FUNCTION
  • ■ Safety function
  • 　Dustproof and waterproof: IP54
  • 　Fail safe function in string wind
  • 　Rout reverse return to home
OPTION
  • ■ Rust detection AI
  • ■ 20M pix camera (SONY R10C)
  • ■ x30 zoom camera (SONY QX30U)
  • ■ 5.7GHz video transmitter (license Not needed)
  • ■ Wi-Fi communication for photo uploader

The product specifications may change without prior notice.

The product specifications may change
　without prior notice.

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  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

  • 設備と一定の距離を保つ技術を用いて、プラント内の配管点検を実施

    CASE 01

    Plant facility regular monitoring using drones
    Distance control for plant inspection

    Visual SLAM technology can be applied to control drone at a constant distance from inspection target such as pipes and walls. This technology makes it easier to capture images at same angle, allowing inspector to compare the severity of the damage over time.

  • 非GPS環境でも安定した飛行

    CASE 02

    Visual SLAM for GPS-denied environment
    Visual SLAM enabling indoor autonomous flight

    Visual SLAM computes drone position relative to the surrounding environment by extracting feature points and saving them as point cloud. This enables drone to conduct repetitive missions indoor, such as regular inspection of facility, warehouse stock counting, and tunnel inspection.

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