Saiga Electronics Saiga Electronics
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The problem

The fitting room is where sales are decided

Apparel carries the highest return rate in retail, and poor fit is the number-one reason. Between roughly a fifth and two-fifths of online apparel orders come back, with fit driving most of it — while in store, queues, garment limits and no record of what was tried slow every decision.

Retailers are not buying screens. They are buying fewer returns and higher conversion, measured in the same reporting stack they already use.

46%

Average apparel return rate cited for the category

4.5m

Gesture sensing range

100/min

Kiosk takt per assembly cell

Gesture interface

Hand gestures, not instructions

Depth sensing keeps the glass clean: no smudges, no wearables, no staff assistance needed to start a session. The infrared touch layer stays available for accessibility and administration.

Pinch to resize

Pinch in or out and the garment scales on the shopper's body in real time — length, sleeve and drape.

Swipe to swap

Sweep a hand left or right to move through colourways, sizes and complete looks without touching glass.

Hold to capture

An open palm saves the look and sends it to the shopper's phone by QR — no app install, no login.

Gesture set validated on the kiosk's depth sensor at 30 fps across a 0.5–4.5 m range, with sub-100 ms response on the shipped gesture software development kit.

SmartFit Mirror virtual try-on kiosk in a retail store

Hardware architecture

Five subsystems, one chassis

  • Display and touch — 55-inch 4K commercial LCD at 700 nits behind 3 mm two-way mirror glass, with a 10-point infrared touch frame.
  • Compute — Intel Core i3 mini PC: 16 GB memory, 512 GB NVMe, dual 4K output, Wi-Fi 6 and wired Ethernet.
  • Sensing — Kinect-class time-of-flight depth camera in the top bezel for skeleton, hand and zone tracking from 0.5 to 4.5 m.
  • Enclosure — 2.0 mm laser-cut, powder-coated steel frame at 1.9 m, weighted plinth, levelling feet and a lockable service door.
  • Service — front-access panel, tool-less module swap and a 48-hour burn-in on every unit before shipping.
CCT-tunable LED lighting2 × 10 W audio400 W PSU + surgeLow-noise thermalTempered side panels

Sensor module: time-of-flight successor to the Azure Kinect class device, with legacy depth sensors supported for pilot kiosks.

Platform

Software is done and deployed

The platform is installed, versioned and remotely managed today. Our work on it now is industrialisation of the hardware around it.

Try-on renderer

3D garment warp with body-shape fitting, occlusion and cloth shading, running at 4K and 60 fps on the kiosk's own processor.

Gesture SDK

Skeleton and hand tracking with pinch-scale, swipe and dwell-to-select mappings; one SDK shipped on every kiosk.

Catalogue service

SKUs, sizes and colourways synchronised from the retailer's product information or ERP system, with an offline cache so a kiosk keeps selling without network.

Kiosk OS & fleet manager

Signed remote updates, device health telemetry and scheduled reboots across an entire retail estate.

Analytics

Try-on funnel through to conversion, size-demand reports and garment heatmaps exported into the retailer's existing business-intelligence stack.

Provisioning

Imaging, licence provisioning, sensor alignment and telemetry enrolment are line stations, not field tasks.

Manufacturing plan

100 kiosks a month on two assembly cells

Six technicians, five stations, a 100-minute takt per unit — 4.8 units a day over 21 working days. A second shift takes capacity to 180 units a month without new floor space.

1

Frame & glass

Jig-aligned steel weld, mirror bonding to the panel, seal cure before the frame leaves the station.

2

Display & touch

Panel mount, infrared frame calibration and a dead-zone test across the full glass surface.

3

Compute & sensing

PC imaging, sensor alignment, firmware and licence provisioning recorded against the asset tag.

4

Test & burn-in

48-hour soak, gesture calibration and QA sign-off with a photo record retained for the unit.

Station 5 — pack & ship

Foam-lined crate, pallet, asset tag and telemetry enrolment, so a kiosk appears in the fleet manager the moment it is powered on in store.

48h

Burn-in per unit

100

Minutes takt time

180

Kiosks per month on a second shift

600m²

Assembly and test footprint

Kiosk specification
Display55-inch 4K commercial LCD, 700 nits, optically bonded to 3 mm two-way mirror glass
Touch10-point infrared frame over USB; retained for accessibility and admin
ComputeIntel Core i3-1315U mini PC, 16 GB DDR4, 512 GB NVMe, dual 4K output
SensingKinect-class time-of-flight depth camera, skeleton/hand/zone tracking
Gesture envelope0.5–4.5 m, 30 fps tracking, sub-100 ms response
LightingCCT-tunable LED strip with diffuser on a 24 V driver
AudioTwo 10 W speakers with amplifier
Power & thermal400 W supply, surge protection, two low-noise fans
Chassis2.0 mm laser-cut powder-coated steel, 1.9 m height, weighted plinth, levelling feet
AccessFront-access panel, tool-less module swap, lockable service door
ConnectivityWi-Fi 6 and Ethernet; fleet-managed with signed remote updates
Validation48-hour burn-in, dead-zone test, gesture calibration, QA photo record

Deployment model

  • Site survey: power, network, daylight angle against mirror glass, footfall and queue geometry.
  • Delivery on pallet with quick-start kit; two-person installation into a store fitting-room zone.
  • Telemetry enrolment at power-on, so the kiosk reports health before the first shopper uses it.
  • Catalogue sync from the retailer's system, with an offline cache for network resilience.
  • Scheduled reboots, signed updates and device health monitored across the estate.

Flagship stores

Try-on without garment limits; queue data captured for assortment planning.

Malls & department stores

Shared installation footprint, per-brand catalogue sessions.

Online pickup

Reduce returns at the point where the shopper is already standing in the store.

Fit labs

Size-demand reports fed back into grading and buying decisions.

Put a kiosk in your next pilot store

Tell us the fitting-room geometry and the catalogue source. We will return an installation plan, a measurement baseline and a deployment timeline.

Plan a pilot deployment