Shoplifting Prevention

Detecting shoplifters on shop surveillance cameras by recognizing the patterns in human behavior.

Shoplifting PreventionShoplifting Prevention
Industry
3
Location
Ukraine
Client Since
2020
Team Size
3

Objectives and challenges

Shoplift is a persisting social and criminal issue that costs retail business owners significant sums of money over the course of their activities. Identifying, pursuing and keeping perpetrators accountable is a current way to handle the issue. However, a more efficient way is to spot shoplifters beforehand to prevent thefts.

SOLVVE team took on the development of such prevention tools using machine learning to detect shoplifting on existing systems of surveillance cameras instead of high-resolution ones.

Solutions

The key point is using video footage from surveillance cameras in shops, supermarkets, trade centers, and other public facilities to detect the anomalies in the human behavior and classify anomalies as shoplifting, robbery, stealing, etc. as compared to regular shoppers’ behavior.

SOLVVE team used CNN i3d with transfer learning and fine-tuning techniques along with UCFCrime dataset of videos catching anomalies in human behavior to train the model that can detect such anomalies in real time and send signals about the shoplifting actions to those in charge of security and crime prevention.

Features

  • Monitoring human behaviour in its richness in real time to spot anomalies.
  • Comparing observed behaviour to a plethora of known behavioural patterns classified as theft, robbery, stealing, etc.
  • Automatically alarming security when suspecting a shoplifting act.

Shoplifting Prevention

Project results

  1. Successfully identifying anomalies in human behaviour identified as shoplifting.
  2. Classifying results of detection into types of anomalies: shoplifting, stealing, robbery, etc.
  3. Ensuring protection of retail business from financial loss caused by shoplifting.

Technologies

Computer vision, Instance segmentation, CNN; Tensorflow, Keras, GluonCV, OpenCV, Pytorch, Numpy

What our great customers say

We prioritize driving our clients' business growth by leveraging technical expertise and business acumen.

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The team delivered good results, producing a high-quality platform that is scalable, and they may work on expanding the product to new regions. They are skilled in development but lack good resources in project management.

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Gaming Company, Saudi Arabia

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Since engaging with SOLVVE, the client has now streamlined and corrected their processes through a platform that meets their needs. They lead a communicative approach to work closely with the team for constant reports and summaries on the project. The client also praises their competitive pricing.

Executive,

Stone+Lain, Сanada
Delmar

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Since partnering with SOLVVE, network downtime and technical issues have been minimized, much to the delight of internal stakeholders. The team performs well from a project management standpoint.

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Healthy Longevity Cafe, Czech Republic

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SOLVVE successfully delivers all the promised deliverables on time and within the discussed budget. They communicate timelines and costs very clearly via Zoom, ensuring an effective workflow.

Chad Jones,

Firm Foundation Academy, USA
LedPax

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SOLVVE’s turnaround times have also been greatly commended. Thanks to their work, the company now has more time to generate business. Their project management has also been excellent, and they provide unique ideas to the firm.

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Manufacturing Company, New York, USA
Healthy Longevity Cafe

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Thanks to the SOLVVE team, the client can now track and manage customers, inventory, and user data more efficiently. The client appreciated how the vendor provided quick and clear communication and timely fixes.

Executive Assistantto CEO,

Healthy Longevity Cafe, Czech Republic
Tevico

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SOLVVE delivered the project on time, meeting the client's expectations. They communicated frequently and promptly via email and virtual meetings, ensuring an effective workflow.

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Terrae Voluntas, Texas, USA