object recognition

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  • noun

Words related to object recognition

the visual perception of familiar objects

References in periodicals archive ?
In order to detect and test application components quickly and easily, a hybrid approach is required that seamlessly fuses both AI and Property-based Object Recognition into a single object recognition capability TestComplete is leading the UI Test Automation tools market by having perfected this hybrid approach.
In this paper, we proposed the 3-dimensional object recognition method which has five properties as follows using Color-SHOT and relationships of distances and angles in feature points for the human support robot.
"Our smartphone is already outstanding at object recognition. We wanted to see if in a short space of time we could teach it to not only drive a car, but to use its AI capabilities to see certain objects, and be taught to avoid them" said Andrew Garrihy, Chief Marketing Officer, Huawei Western Europe.
A new Leica Dual Camera with intelligent photography includes AI-powered Real-Time Scene and Object Recognition, and AI-powered Bokeh Effect so the camera detects the right mode based on what you're photographing and the light available.
The object recognition and camera settings recommendation are similar to what Huawei introduced with the Mate 10 Pro, while the shopping feature is something that Google has already meade possible with its Pixel 2 smartphones, as pointed out by (https://www.theverge.com/2018/2/12/17006490/new-lg-v30-ai-photo-features-announced) The Verge.
Their results demonstrated that the use of the saliency segmentation method and image processing strategies can automatically extract and enhance foreground objects and significantly improve object recognition performance towards recipients with a high-density implant.
In order to investigate these effects, the Morris water maze (MWM) and novel object recognition (NOR) test protocols were used.
As conventional object recognition method using 3-dimensional information, there is model-based recognition method such as the previous research by Kudo et al [4].
DFEs have been used to enable large scale Brain modelling, machine learning, real-time face recognition from multiple video streams, real-time object recognition and categorization.
(That's as opposed to a graphics processing unit, GPU; or central processing unit, CPU.) The Myriad 2 is a processor tailor-made to handle machine vision tasks like object recognition, and Movidius claims it's the "industry's first always-on vision processor." It's previously shown up in Google's Project Tango devices as well as DJI's autonomous drones, and helps to make their on-board vision processing more efficient.
The new alliance will allow Wazee Digital Core customers to leverage Veritone's industry-leading AI technology for automated metadata extraction and analysis, including speech-to-text transcription, face recognition, translation, object recognition, content moderation, and optical character recognition.
In retail sector audits, for a warehouse stock count, the drones will work autonomously while using variable image and object recognition tools such as optical character recognition and QR/barcode/rack labels to collect inventory information, especially during off-hours to minimize audit stakeholder risk and improve efficiency.
In retail sector audits, for a warehouse stock count, the drones will work autonomously while using image and object recognition tools such as optical character recognition and barcodes or labels to collect inventory information -- especially during off-hours -- to minimise audit stakeholder risk and improve efficiency.
Stimulus similarity decreases spontaneous object recognition regardless of the retention interval in rats
This combination will allow users to leverage the power of Veritone's cognitive analytics, along with top cognitive engines in areas such as face detection, object recognition and transcription, to extract new value from their onpremise video and audio content without having to move it to the cloud.