Overview
WEDS's fingerprint algorithms have been continuously optimised for over 20 years to achieve fast and accurate fingerprint recognition of 1:1 & 1:N.
The algorithm is compatible with both optical and capacitive fingerprint reader and can be adapted to a variety of products, to achieve product diversification.
300,000 large library, ISO 19794 compatible, can be used for old customers' fingerprints, to achieve a sense-free data transfer.
1. Strong application ability
It can realize fast detection under different placement angles and positions of fingers. For complex application scenarios such as bright background light of the collection window, finger stains, dry fingers, wet fingers, etc., it has extremely stable and excellent performance.
2. Accurately identify the large Storage
Multi-dimensional vector features such as spacing, bifurcation, and curvature of the grain in the grain can realize accurate recognition under a large-capacity user database of up to 300,000 or more.
3. Fast comparison
Using multi-level comparison mode, on the basis of ensuring a stable comparison effect, a very fast comparison speed can be achieved. At present, the single-core comparison speed of ordinary PC can reach 1 million times per second.
4. Stronger stability
The optical fingerprint recognition module has good stability, strong antistatic ability, long service life, particularly high sensitivity, and can provide high-resolution fingerprint images. The technology is also the most mature.
Overview
WEDS's face recognition technology based on more than ten years of deep learning algorithm research, with a large number of field implementation experience and continuous optimization, not only can achieve the basic face detection, live detection, face recognition, but also mask detection, helmet detection, personnel attributes and other functions. It can already cover a wide range of skin tones and multiple age groups including K12.
1. Accurate detection in complex environment
Face detection capabilities cover many complex environments such as complex light, face occlusion, large face angles, and fast movements. It supports cloud, edge, and end-to-end multi-platform solutions to achieve efficient, accurate and stable face detection functions.
2. Live detection
Visible light cameras are used to defend against infrared/black and white photo attacks, and infrared cameras are used to defend against color photo attacks. Achieve fast, stable and reliable face live detection function.
3. Achieve age and gender recognition
Based on the accurate age and gender estimation in the natural environment supported by the face, the age error is +/- 3.7 years, and the gender accuracy rate is >99%.
4. Mask/Hat/Beard recognition
The end-to-end two-classification network structure is adopted to realize a rapid detection model of whether with mask/hat/beard, which can accurately detect mask scenes of different types and different wearing methods.
Overview
As a 24-year all-in-one card equipment manufacturer, WEDS's card recognition technology covers most card types, supports a variety of industry proprietary and private protocols, and a variety of card reader adaptations with strong design experience to meet the user's pursuit of long-distance recognition experienc.
1. .Multiple Cards Recognition
Support Proximity, NFC, CPU, HID/iclass, DESfire, Magnetic, Mifare etc.
2. Multiple Communication Protocols
Support ISO14443A/ISO14443B/ISO15693 protocols, Mifare & DesFire, and low frequency 125KHz Read-only protocol.
3. Multiple Readers
Support Reader on all-in-one, External Reader, Off-screen Reader, Magnetic stripe Reader, and Plug-in Reader.
4. Recognition Long Distance
The theoretical maximum reading distance is 8cm, we can achieve a reading distance of 3cm to 5cm on products.
Overview
WEDS’s code recognition technology supports the recognition of a variety of code types, can achieve high density and high information QR code recognition. Both to assist customers to develop private protocols, but also can be used to pass through the way, easy to achieve the interface to other codes.
1. Multiple Code Type
Barcode: Support Code 128, GS1 128, ISBT 128, Code 39, Code93,Code 11 etc. Two-dimensional code: Support QR Code, Data Matrix, PDF417 etc.
2. High-resolution
Our readers can support high-resolution codes for greater versatility and a wider range of applications
3. Divided Style / Integrated Style
Integrated Style is more aesthetically pleasing. Divided Style is detachable for greater flexibility of use.
4. Private Protocol Docking
We support docking protocols via pass-through mode, as well as local parsing to dock protocols.
Overview
As the optimisation of visible light recognition algorithms, WEDS has been able to provide more than 30 visible light algorithms to meet customers' needs for a wide range of services in four categories: structured, perimeter detection, behavioural analysis and face recognition in a number of scenarios, including communities, parks and buildings.
1. Applied Behavior Analysis
Intelligent recognition of specific behaviours in crowds and scenes, such as chasing, fighting, smoking, not wearing a mask, etc.
2. Zoning
Specific zones can be defined according to the needs, such as danger zones, no-passing zones, etc.
3. License Plate Recognition
Recognition and recording of different license plate colours and numbers.
4. Vehicle Type Identification
Identify different types of transport, such as cars, electric cars, bicycles, motorbikes, etc.
