Facial Recognition Software Solutions

To capture Faces we use IP cameras to identify people entering a location. The software then translates the images into data and a single data image is stored. The data is then analysed and the individuals age and gender is estimated allowing the company to understand who they customers are and their movements.

Insite2 is TouchByte's business intelligence tool that enables insight into your customers anonymous profile and in-store behaviour. Analysis of the footfall at various time periods and the demographic nature of the footfall.

Facentry is principally aimed at secure Hotel Bedroom door access but can be used for other applications where access is required for other secure areas.

AgeCheck validates the ages of customers purchasing age related goods at a self service terminal (alcohol, medication, solvents, cigarettes, fireworks) and continues the transaction if the software estimates they are over a predetermined age.

NotifyMe is our application that tells chosen departments that an enrolled person has arrived. It works on a desktop / laptop, tablet and smartphone. it shows the enrolled image, the latest image captured for comparison and the percentage chance of a match.

Chec-In - software runs on a Kiosk in reception where an automated registration is possible, notifying the host of a visitors arrival together with their photo. When the visitor returns to the site again, with their permission their image is held and the process of registration is streamlined.

Recording a staff members clock-in and clock-out gives a fast and reliable way of monitoring time worked. Employee faces can be download to their place of work immediately following job offer and acceptance. No more "Buddy punching" allowed.

Monitoring the attendance of visitors to a show, exhibition, pop-up shop or an event has been traditionally very difficult to capture and prove to exhibitors the attendance figures. We can now provide footfall and demographic data in real-time for the duration of the event using our FalconEye solution.

By analysing the demographic nature of the visiting public, we can trigger changing advertising and promotions relevant to the target audience at the site. Content can be measured as to its appeal by measuring footfall and conversion analytics.

For certain applications our Face Recognition system can validate who someone is and link to a persons payment profile. Meal deal payments in supermarkets at lunchtime require a super fast method of transacting and payment. FacePurse is a way of speeding up end of transaction payment.

Similar to the Underground Oyster card and rather than a card, you face becomes your ticket. Capturing your journey start time and location and your end of journey time and location it then calculates the cost of that journey without the need of a phone or ticket.  

Any medium and large organisation will have security passes issued. Your face can replace these as a way of monitoring access and movement around a workplace. At the point of employment you will be allocated an area to work in, straying out of this or an intruder is seen, prompts a notification to security.

Triggering access to a Car Park by a user face rather than a car means the user is free to use whatever car they like to gain access to the car park.

For service's business such as a Hotel, when someone arrives at the entrance the recipient gets a notification of the guests arrival.

This application notifies a gambling establishment of anyone that has self excluded themselves - declared they have an addiction, which passes the responsibility from the person to the company to stop them gambling. We enrol those that have self-excluded and then notify the company of their arrival.

The application analyses a persons face captures age, gender and emotion. Based on the emotion of the person in the frame the system will trigger an action / event. One example was to trigger a suggested cocktail based on a person emotion at a large Microsoft promotional event.

Solution for uploading a face image and identifying the date and times when the face was seen in a historical log so that a point in the CCTV footage can be accessed to identify them - GDPR compliant.