Motionloft Blog

Computer Vision at the Edge by Motionloft

Posted by Panos Kourdis on Dec 3, 2018 11:21:04 AM

Motionloft's weatherized ViMo sensor provides in real-time accurate pedestrian and vehicle tracking information inside or outside, visualized via our in-house built web-analytics platform and also accessible via a secure private API. It connects to the Cloud wirelessly by LTE or WLAN without requiring any additional infrastructure. Only, a common 110 volt electrical outlet and a good spot to mount the sensor for capturing the region of interest is sufficient.

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Tags: pedestrian Sensor, Pedestrian Counts, Computer Vision, vehicle counts, pedestrian analytics, vehicle analytics

10 Retail Analytics Metrics You Don’t Know and Need

Posted by Carlos A. Folgar on Oct 24, 2018 1:34:31 PM

Retail operations and marketing leaders share common goals and challenges related to their brick-n-mortar stores. In order to enhance the customer experience and drive growth in stores, retailers must understand customer shopping trends in the physical world. 

Motionloft's ViMō computer vision sensors, deep learning object recognition algorithms, and personalized analytics platform give retailers an end-to-end solution to understand the entire shopper journey offline. All without the need for wifi or bluetooth tracking, and without collecting any personally identifiable information.

For example, here are 10 pieces of store foot traffic data Motionloft provides you to better understand brick-n-mortar shopper trends.

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Tags: Retail, QSR, OmniChannel, Pedestrian Counts, Site Selection, Marketing Effectiveness, Retail Analytics, Capture Rate, Dwell Time, Computer Vision, Street-to-store, Business Hours, Parking Lot, Path Tracking, Occupancy, Line Queues, Wait Time, Line Abandonment Rate, Speed of Service


We Turn Video Into Meaningful Data

Motionloft takes the physical movement of people and vehicles and turns it into digitized data. Our dashboard presents this unique data to the user in real-time enabling them to make confident decisions, provide precision for algorithms, and reveal new opportunities that only data can surface.


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