Audience
Companies that want video analytics on CCTV video
About WovVVideo
WovVVideo leverages the capabilities of your existing CCTV cameras for sophisticated image recognition processing. This powerful tool reveals invaluable insights into customer behavior, employee productivity, and store operations. From analyzing foot traffic and detecting facial expressions to monitoring merchandise theft, WovVVideo helps you unlock a new level of understanding with cutting-edge CCTV video analytics.
Other Popular Alternatives & Related Software
AQUAJI
Aquaji is proprietary software developed by Navori Labs, a Swiss innovator and global leader in AI-enhanced computer vision technologies. Aquaji interprets video feed from one or more cameras to produce reliable and comparable marketing analytics data to measure visitor foot-traffic and customer behavior in physical spaces. For continuous improvement, Aquaji count visitors and gathers demographic data, length of stay, wait time and attention span KPIs.
The software can be used to manage physical stores, assess marketing activities, and improve customer satisfaction. Aquaji will help you understand your store’s traffic patterns, measure the impact of your advertising campaigns, test your product assortment, improve wait time perception, and optimize your staff levels to meet customer demand.
When used in conjunction with Navori’s QL digital signage platform, Aquaji delivers targeted content to any display or device based on the audience profile.
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InfiEye
AI-video analytics enables your store managers to identify and prevent store shrinkages as well as inventory thefts, as soon as they happen. With InfiEye AI, you can improve your in-store shopping experience by identifying fast-selling SKUs on retail shelves and easily monitor in-store customer behaviors. Integrable with your existing in-store PoE cameras. Place your cameras at points you want to monitor, be it the overhead of checkout counters, countertop, on retail shelves, or at the store's entry and exit points. Image recognition algorithm processes live in-store feeds, frame by frame, to accurately identify every object on the shop floor. Evidence-based alerts are sent to the store staff to intervene in a friendly manner. Monitor inventory stock-outs or overstocking, and track sales performance of each store. Reduce store shrinkages and improve net-sales output of every store.
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RetailNext
Why invest in point solutions when you can invest in the only future-proof system that scales with you? Traffic, Shopper Journey, Visual Merchandising, Asset Protection, and more, in a single fully-integrated platform. Accurately measure foot traffic to your stores in real-time with the most advanced traffic system ever built. Enjoy instant access to high-resolution recorded video to easily perform your own audits at your convenience, and at no extra cost. Measure, display, and control store occupancy in real-time to instill confidence in shoppers and safely reopen your stores. Analyze historical occupancy rate trends for your locations. Check if locations are underutilized or overcrowded, and verify compliance with specified occupancy limits. Get complete visibility into how shoppers move through the various areas of your store as part of their journey. Segment shoppers by demographics, purchase activity, and much more.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Pricing
Free Version:
Free Version available.
Integrations
No integrations listed.
Company Information
WovV Technologies
Founded: 2016
India
www.wovvtech.com
Videos and Screen Captures
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