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Time-and-Motion Analytics

Use cameras to gain an understanding of the visual state of an industrial operation. Gain visibility over production as materials move through the production process.

Visual analytics can be used to track the movement of materials, vehicles, and people. Camera vision can be used to quantify time spent on tasks, and identify areas for improvement.

What it does

Visual algorithms to disambiguate the structure of industrial scenes. Automatically segment materials on pallets, shelves, or bulk material. Infer appearance and geometry (Colour, Visible Defects, Size, Shape, Pose).

Use Cases

Reduce Waste in Motion

Visually identify movement of material, people and equipment. Visual analytics of industrial workflows to keep track of component locations and time in motion (e.g. screws placed too far out of reach during assembly).This analysis can improve cycle-time of multi-step tasks by reducing waste in motion.

Maintain a Track of Tool and Part Locations

Reduce time spent locating tools or items of interest. Reduce costs of misplaced items. Accumulate this information over time; to build up a digital representation of material or tool movements. By tracking motion in video feeds, sources of time wastage can be inferred. This data allows managers and engineers to identify areas where productivity can be enhanced and implement targeted improvements.

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Ergonomic Analytics

Prevent injuries, protect worker safety. Our algorithms can automatically infer human joint angles, and body poses from video.

Automatic Visual Analysis of body poses and joint angles reduces the risk of WHS issues before they cause harm, examples include:

• Injuries from repetitive strain
• Unsafe lifting processes
• Overhead movements

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Camera Analytics

Use camera vision to segment, locate, and identify objects. Objects can be placed on Shelves, Conveyors, or Pallets.

Alternatively, we can tailor the vision solution to support less-structured visual scenes.

The system can be configured with one camera or fuse data from multiple cameras. These cameras can be fixed mounted or moving cameras on robots or vehicles.

Our camera algorithms can identify objects and motion behaviours from video. We can extract the depth and geometry of objects, appearance features, motion features, as well as other part related attributes.

Moreover, our systems can detect visual defects and quality related attributes.

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Process Flow Comprehension

Data is a raw material which can be refined into useful information. Data Mining can uncover hidden insights about your supply chain. Yielding new perspectives on your operations.

Learning algorithms uncover hidden patterns by processing your data to fuel the efficiency growth of your supply chain.

You can infer by fusing data from multiple disparate sources, such as:

• Plant Instrumentation
• Cameras which segment, locate, and identify objects (e.g. parts on pallets or shelves, or in storage bins)
• Sensors on mobile robots.
• Fleet tracking data from vehicles.
• Automatic identification and data capture (AIDC) data streams (such as RFID).
• Software Systems and Databases

You can even draw in streams from existing plant instrumentation, or databases.

We supply a tailored selection of hardware, and develop machine learning models tailored to your application, so that you can extract useful signals from the noise.

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