Facial Recognition Dispensing Kiosk for Candy Sampling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in the confectionery industry is to effectively capture the attention of busy shoppers and increase candy purchases, as traditional free product sample giveaways are expensive and lack differentiation, with only about eight percent of shoppers buying candy during a shopping trip.
Innovation Solution
An apparatus and method that uses facial recognition technology to dispense product samples in response to detected facial expressions, such as smiles, by capturing images, analyzing facial characteristics, and dispensing samples only if the expression is detected and the customer has not previously received a sample within a predetermined time period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If free product samples are distributed to increase customer enthusiasm and purchases, then customer loyalty and product sales improve, but distribution costs increase significantly
Solution Approach 1:
The system enables self-service sampling where customers autonomously interact with the kiosk, provide facial expressions, and receive samples without employee assistance. This eliminates labor costs associated with traditional sample distribution while maintaining the promotional effectiveness of free samples.
Solution Approach 2:
The patent replaces the mechanical system of employee-handled sample distribution with an automated kiosk system using facial recognition technology. The kiosk captures facial expressions, identifies customers, and dispenses samples automatically, substituting human labor with optical and computational systems.
2Productivity
If multiple companies provide product samples in the same manner to build customer enthusiasm, then individual product differentiation decreases and marketing effectiveness diminishes
Solution Approach 1:
The system changes the parameter of sample distribution from uniform, identical methodology across companies to differentiated interaction based on individual facial expressions and customer profiles. Each customer receives a customized experience where their specific facial movements trigger sample dispensing, creating unique interactions that differentiate brands.
Solution Approach 2:
The patent introduces dynamic, real-time facial expression analysis that adapts the sampling interaction to each customer's spontaneous reactions. This dynamic engagement creates memorable, differentiated experiences compared to static, identical sampling methods used by other companies, making the marketing approach more adaptable and versatile.
3Reliability
If employee-paid sample distribution is used to build shopper enthusiasm, then customer loyalty improves, but operational expenses increase
Solution Approach 1:
The kiosk system enables customers to self-serve samples through facial expression interaction, eliminating the need for paid employees to distribute samples. This maintains the customer service aspect that builds loyalty while removing the operational expense of employee compensation, benefits, and training associated with traditional sample distribution.
Solution Approach 2:
The patent substitutes the human employee system with an automated kiosk that uses facial recognition and expression analysis. This mechanical substitution maintains consistent, reliable customer interaction that builds loyalty while eliminating the variable operational expenses of human labor, creating a more predictable and cost-effective system.
Data Source
AI summary
An apparatus and method for dispensing a product or sample in response to the detection of a selected facial expression such as a smile. A computerized device having a camera and utilizing facial recognition and facial expression determining software is connected to a mechanical dispensing unit to dispense one product sample to a customer during a predetermined period of time such as one day.