IEEE Instrumentation & Measurement - September 2023 - 23

Scene cam
IMU
Depth cam
human activities with high
precision in real time.
Recommendation
Smart Glasses Frame
AR lenses
Technologies
GPS
Color
annotation
Visual test
Gaze
tracking
WIFI
Bluetooth
Visual aids
AR applications
Navigation
Object
detection
Fig. 1. Technical architecture and typical applications of See Far glasses.
them. The selected system comprises of a pair of waveguide
lenses and a light engine. The waveguide approach was selected
since it was found to provide several advantages compared to
the optical combiner, also known as " birdbath. " The waveguide
works in a similar way to optical fiber. Many reflections take
place inside the lens before the image is displayed in front of the
user's eyes. There are two primary conditions for the reflections
to take place: a highly refractive index material must be used in
the waveguide, and the input angle of the light produced by the
system must be larger than the critical angle of the refraction.
The main advantage of the waveguide lenses is their thin
eyepieces, which are less than 2 mm thick, compared to the bigger
thickness of the birdbath, which are around 10 mm thick.
Moreover, the reduction of the glass thickness leads to a bigger
transparency percentage. As a result, the waveguide approach
is suitable for avoiding bulky and heavy glasses designs. The
AW60 LingXI AR Lens chosen for See Far smart glasses is a lightweight
and robust AR optical engine with a lens-like appearance.
It was chosen primarily for its wide field of view (40° diagonal),
the 1280 × 720 resolution, 300 nit brightness and the competent
value for the features it incorporates, especially compared
to other commercially available AR lenses. The AW60 AR Lens
support both MIPI and USB-C 3.1 DisplayPort v1.4 connectivity.
Auxiliary Sensors
The auxiliary sensors are a set of embedded sensors that are
used to measure various parameters in the user's environment
(part of the scene and the GTS cameras) and include a temperature
sensor (BME280), an ambient light sensor (BH1750) as
well as a 9-axis Inertial Measurement Unit (IMU) (ICM-20948)
to determine the orientation of the person with respect to the
magnetic north and recognize high energy motion activities.
The contextual information derived from the IMU provides
data to a custom deep learning model that is able to infer
September 2023
The frame provides a smart
spectacles solution where
all components (electronic
and optical) are integrated
into a slim, practical and
well-designed adaption.
The smart glasses' components
are placed inside a
frame, which isolates the
electronic signals, removes
the heat dissipated from
the electronic components
and protects them from environmental
hazards and
human error. The development
procedure was
divided into three phases,
with each phase being evaluated
in terms of functionality, ease of use and comfort, and
giving new and updated requirements and specifications to
the next one. After the agreement on the conceptual 3D design,
the process of designing a real and functional frame that
would be printed to house the selected components started. It
was an iterative process in which the 3D designers and technical
teams cooperated closely. The final version of the frame is
presented in Fig. 2. Fig. 2b presents the spectacles from different
viewing angles.
To achieve adaptability of the frame to each user's head, the
frame's legs were divided into two parts, so that interchangeable
legs with different sizes could be used. The front part of
each leg is fixed and houses the electronics and cabling. The
rear part of the leg is an interchangeable piece that provides
adjustability. The AR lenses are fixed by an aluminum stick to
ensure the proper alignment of the left and right lenses. The interpupillary
distance is fixed at 63 mm, a feature that was not
reported to be an issue for different users.
Processing Unit
The core of the processing unit is a system on a module (SOM)
that incorporates a multi-core processor, memory and communication
modules. Intrinsyc's Open-QTM 845 μSOM is an
ultra-compact production-ready (SOM) based on the Qualcomm®
Snapdragon™ SDA845 System-on-Chip (SoC).
Snapdragon 845 is widely used for powering advanced robotics,
drones, cameras, and embedded IoT devices. It supports
four camera ports, two USB3.1 ports, and a Gen3 PCIe interface.
The SoC supports both the Android Operating System
and Yocto Linux, which provides a fully customizable Linux
distribution that can be tailored to specific application needs.
A custom board, based on PrismaSense™ architecture [8], was
designed to connect this SOM with the peripherals and sensors,
acting like a computer motherboard. While the tethered
IEEE Instrumentation & Measurement Magazine
23

IEEE Instrumentation & Measurement - September 2023

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