General Data Protection Regulation (GDPR) and Facial Detection

Shoppar LTD places a high level of value and respect on privacy rights. As a team of consumers ourselves, we are aware that we have an obligation to create a company which protects the privacy of our customers. Any service we provide is designed to protect the privacy and personal data of users

Shoppar is considered a “data processor” under the guidelines of the GDPR. Customers using our platform are considered to be “data controllers”, and are responsible for meeting additional privacy or consent gathering requirements for their individual use case.

With respect to “Biometrics”, the GDPR defines biometric data as, “personal data resulting from specific technical processing relating to the physical, physiological or behavioral characteristics of a natural person, which allow or confirm the unique identification of that natural person, such as facial images or dactyloscopic (fingerprint) data.”

Paragraph 1 of Article 9 of GDPR highlights that biometric data is to be considered a special category of personal data that it is prohibited from being used for the purposes of an individual’s identification.

Shoppar software operates using facial analytics. This is not the same as facial recognition, which has the capability to identify individuals. Our solution is fully anonymous and has been created with consumer privacy placed as a priority since its inception.

The difference between Facial Detection and Facial Recognition.

Facial detection has the ability to distinguish the presence of a human face in video or image format. Shoppar uses facial detection as part of its service and protects the privacy of its consumers.

Facial recognition matches a face seen on a video or still image with a list of known faces. This is NOT what we do. These are the policies we have in place for our solutions:

Storage

Any footage captured by our devices is collected, aggregated and analyzed in real-time for the machine learning algorithm to continuously process facial analytics, without any biometric being saved. Recordings are never stored onto any medium and can never be used to identify an individual.

Anonymity

Shoppar solutions collect and analyze anonymous data. We cannot, and do not personally identify individuals, at any time, period.

Application

Data collected and analyzed is being used for a variety of applications such as audience measurement and aggregated insights.

Security

Shoppar has deployed reasonable security protocols that protect our products and services from being hacked or tampered with by 3rd parties. We encrypt our connections with some of the same technology used by banks to protect our information.

Education

Shoppar ensures all customers and partners are well informed of the solutions provided by the company by investing into educational resources. We provide installation procedures, FAQs and other helpful guides to encourage best practice and effective use of our services.

Contact Us

If you have questions about the privacy aspects of our Site or Services or would like to make a complaint about our privacy practices, please contact us via email at support@shopparapp.com

Tech & GDPR Compliant Information

Facial analytics vs Facial recognition

Facial analytics: using computer vision, the software allows us to analyse the presence of humans (faces) in images , videos and real-life environments. Shoppar uses facial analytics as part of its service and protects the privacy of its consumers.

Facial recognition is a biometric software application that matches a face seen on a video or still image with a list of known faces and is capable of identifying or verifying a person. Is mostly used for security purposes. We DO NOT do this.

Our Policies:
Application. Information Collected.

The data collection algorithm interprets via computer vision anonymous “metadata” that describes the demographics and behaviour of an audience. The algorithm interprets age, gender, mood and attention Span. Data collected and analyzed is applied in various cases such as audience measurement and aggregated insights.

Even though computer vision is key to Shoppar’s technology, the algorithm does not require images to be stored or sent to servers. A further level of compliance is achieved through data aggregation so individuals cannot be identified.

Storage and Anonymity

All data is anonymous, Shoppar does not save or storage images or record footage. Any footage captured by our devices is collected, aggregated and analysed in real-time for the machine learning algorithm to continuously process facial analytics, without any biometric being saved. Recordings are never stored onto any medium and can never be used to identify an individual.

Shoppar does not have the ability to personally identify individuals at any time. No image is forwarded from the camera unit to a third-party device or stored on device.

Access to the Data

You will have access to view the data as it is interpreted into usable insights about the audience in data dashboards. Any Shoppar staff that have access to the data for processing and maintenance are all held to a strict non-disclosure agreement and a high privacy standard.

Data Controller & Data Processor

Shoppar is considered a “data processor” under the guidelines of the GDPR. Customers using our platform are considered to be “data controllers”, and are responsible for meeting additional privacy or consent gathering requirements for their individual use case.

Security

Shoppar has deployed reasonable security protocols that protect our products and services from being hacked or tampered with by third-parties. We encrypt our connections with some of the same technology used by banks to protect our information.

Security Training for all Employees

All Shoppar employees undergo security training as part of the orientation process and receive ongoing security training throughout their Shoppar careers. Depending on their job role, additional training on specific aspects of security may be required.

Our Dedicated Privacy Team

The Shoppar Data Science team integrate the highest level of data privacy compliance into all aspects of our software and data delivery dashboards.

Malware Prevention

An effective malware attack can lead to account compromise, data theft, and possibly additional access to a network. Shoppar takes these threats to its networks and its customers very seriously and uses a variety of methods to prevent, detect and eradicate malware.

Securing Data in Transit

Data is vulnerable to unauthorized access as it travels across the Internet or within networks. For this reason, securing data in transit is a high priority for Shoppar. Shoppar uses Google servers that support strong encryption protocols such as TLS to secure the connections between customer devices and Google’s web services and APIs.