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NEUROLABS PLATFORM

Computer Vision Technology for most of your Visual Automation use cases.

Take advantage of your Images and Videos in real time or offline.

Quality Control

Image Classification

AVAILABLE NOW

Image classification involves assigning a label to

an entire image or photograph. It is best suited

for situations when there is only one object of

interest that dictates the overall understanding of

the image.

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Some examples of image classification include:

monitoring assets for defects/no-defects in

manufacturing, ensuring adherence to safety

protocols, classifying products in retail, searching

through large visual databases to identify

relevant objects, etc.

Image classification 1.png

Safety equipment on

Image Classification
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Inventory management

Object Detection

AVAILABLE NOW

If you aim to identify the location and category of multiple objects in an image, the object detection use case is for you. This is a more challenging task than simple image classification, as often there are multiple objects in the image of different types.

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Some examples of object detection include: product recognition for inventory management in retail, food recognition for automatic checkout in foodservice, vehicle and person detection for security or smart city, monitoring of assets in warehouses, etc.

Object Detectio

Object Tracking

COMING SOON

Track particular objects across the entire video. If your situation requires that each of the objects are tracked as they move around frames in a video, maintaining unique assignments, then object tracking solves that for you.

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Some examples of object tracking include: tracking parcels as they move around the warehouse, monitoring traffic for safety reasons, observing activity in parking lots, etc.

Quality Control

Obj Tracking

Quality Control

Object Counting

AVAILABLE NOW

Counting the number of instances of an object is,

in a way, still an application of object detection. It

is useful when you want an estimation of the

number of objects in a still image or video frame.

Using the Neurolabs Platform, it is simply a box

that you need to tick in the Post-Processing section of the model training step.

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Object counting can be useful for situations such

as: keeping track of the number of products on

the production line, ensuring certain standards in

delivery, monitoring restricted traffic or

socialising environments, etc.

Get started with Neurolabs Platform today

Obj Count
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