The facial detection & recognition algorithms and attendance systems have been widely known by entrepreneurs, open source contributors, and end-users familiar with mobile Face ID technologies. However, there are still business cases not covered by commonly available solutions.
What challenges do you want to overcome?
- Do you want to replace RFID cards or fingerprint readers with a touchless technology?
- Are you looking for a reliable system for automatic and contact-less authentication?
- Do you want to increase passenger or employee safety at a managed facility?
- Do you need to reduce delays from cloud processing or large file transmission?
- Or are you facing other challenging issues that can be solved with edge computing and AI?
Identification of factory workers during shifts exchange and recognizing corporate employees at peak hours to prevent long queues.
Replacing manual identity verification with a reliable solution that automatically recognizes authorized individuals.
Generating savings for the company with better time management of employees waiting in line for authentication to start a shift.
The system prevents security violations and frauds, detecting people using a stolen ID card or an unauthorized ticket discount.
Quick operation
Our solution is fast and reliable – an authentication and detection process takes milliseconds.
Smart system
The system adapts to changes in appearance, recognizing a person wearing glasses, a hat, or a new hairstyle.
Time efficiency
Adding new people to the register is quick, requiring taking only a few photos to train the AI model.
GDPR compliance
There`s no need to store sensitive data – the system can operate on the device, and the identification is fully anonymous.
Easy integration
Integration with external systems is possible using API and network connection through Ethernet, Wi-Fi, or LTE.
For face recognition, we can apply a standard camera used for monitoring facilities. Such a device, however, doesn’t recognize whether the image is three-dimensional or flat, which means that the system won’t prove effective in all security-related situations.
Advantages:
- Cheaper equipment
- Faster deployment
For a fully autonomous system, we need an infrared-based solution similar to those used to unlock a smartphone. The AI algorithm recognizes a real, three-dimensional face & illuminates it with infrared light that is invisible to the human eye.
Advantages:
- A safer solution
- More challenging to trick than a device that doesn’t recognize image depth
- Gatekeeper supervision isn’t required
As an authorized Raspberry Pi Approved Design Partner, we have the necessary expertise to provide IoT technology consulting and deliver a tailor-made solution to meet specific customer needs.
An AI model needs to be trained with customer data, according to the principle – the better the training data, the better the model performs. The final solution’s effectiveness is determined by the environment, lighting, and how data is sampled for AI training.
Each project is priced individually after the workshop. Developing a ready-to-use solution requires preparing a custom AI model and selecting the right hardware, choosing from Raco Edge AI, NVIDIA Jetson, or others.