Enterprise AR Implementation on Snapchat Spectacles
AI-Powered Automotive Inspections. Wearable Intelligence. Real-Time Collaboration.
Client Overview
PSSPL collaborated with an enterprise that was keen to explore how wearable technology could transform automotive operations. The goal was to rethink Snapchat Spectacles as a powerful, hands-free, AI-powered productivity tool rather than treating them like another consumer AR device.
The enterprise wanted to rethink how inspections were done on the workshop floor. Through the use of spatial computing, they sought to reduce technician downtime, expedite paperwork, and facilitate specialists’ ability to lead teams remotely.
Three purpose driven AR lenses were built by PSSPL to bring this vision to life, with the AR Vehicle Inspection System emerging as the primary, business-critical solution. To further enhance its impact, real-time live streaming was integrated, enabling managers to observe inspections as they happen – with annotations, checklist progress, and AR overlays visible directly within the live feed. This created real-time collaboration with complete insight into every stage of the inspection process, not simply remote viewing.
Industry
Automotive & Industrial Operations
Location
United States
Company Size
Enterprise
Project Duration
6 Months
Services Provided
- Enterprise AR Solution Development
- Wearable Computing Implementation
- AI Integration (Computer Vision + NLP)
- Real-Time Streaming Architecture
- Gesture & Voice Interaction Design
- Modular Spatial Application Architecture
- Performance Optimization for AR Hardware
Technologies used
Computer Vision
NLP
Speech-to-Text
Voice Commands
AR Wearable Device
Gesture Recognition
Challenges
- Manual inspection workflows with paper-based checklists
- Frequent interruptions to reference PDFs and manuals
- Limited real-time expert supervision
- Inconsistent documentation standards
- High cognitive load on technicians
- No scalable wearable-first inspection framework
The client required a hands-free, intelligent, real-time system that could operate reliably inside active workshop environments.
Inspections were manual and disjointed when we started. Our goal was to include intelligence into the technician’s process without making it more complicated. We turned wearable augmented reality from an idea into a useful business tool by fusing gesture engagement, AI voice support, and live broadcasting.
Manish Langa
AI Practice Head, PSSPL
How PSSPL Helped
We designed and deployed three enterprise-grade AR lenses on Snapchat Spectacles, prioritizing real-world usability and operational value.
The development roadmap followed a clear business hierarchy:
- AR Vehicle Inspection System (Primary Business Solution)
- AI Automotive Assistant (Technician AI Copilot)
- Tangram Puzzle Solver (Wearable AI Demonstrator)
Lens 1 - AR Vehicle Inspection System
Primary Business Solution
This lens transforms traditional multi-point vehicle inspections into an interactive AR workflow. Technicians can perform structured inspections hands-free using palm gestures and voice commands while viewing overlays directly in their field of vision.
Core Capabilities
- Palm-based gesture navigation
- Voice-controlled checklist progression
- Multi-point inspection tracking
- AR drawing and annotation tools
- Repair order visualization in 3D space
- Integrated PDF viewer for manuals and MPI forms
Live Streaming & Remote Supervision
A major enhancement included real-time streaming from Spectacles:
- Live video feed from technicianโs perspective
- AR overlays visible in streamed view
- Remote supervisor monitoring and guidance
- Support for quality audits and expert assistance
Business Value
- Reduced inspection time
- Improved documentation accuracy
- Standardized inspection procedures
- Minimized workflow interruptions
- Enabled remote expert collaboration
- Increased technician productivity
Lens 2 - AI Automotive Assistant
Voice-Enabled Technician Copilot
The AI Automotive Assistant functions as a real-time voice-driven support system. Technicians activated the assistant via microphone trigger and receive contextual responses directly in AR view.
Core Capabilities
- Speech-to-text processing
- AI-driven troubleshooting guidance
- Torque specifications on demand
- Diagnostic explanations
- Context-aware responses in AR
Business Value
- Reduced time spent searching manuals
- Faster diagnostics
- On-demand technical assistance
- Increased repair accuracy and confidence
Ready to Build Enterprise AR Solutions?
If your organization is exploring wearable computing, AI-driven inspections, or remote collaboration through spatial technology, Cloud Partner can help.
We design scalable, enterprise-grade AR solutions that transform operational workflows.
Letโs bring intelligence into your field of vision.
Implementation Journey
Discovery & Workflow Analysis
Workshops were conducted to understand workshop operations, inspection sequences, and technician pain points. Existing manual processes were mapped to AR-driven digital workflows.
Architecture & Interaction Design
A wearable-first interaction model was created using gestures and voice commands. Performance optimization was prioritized to ensure stable AR overlays in dynamic workshop environments.
Development & Integration
Three modular lenses were developed and tested iteratively. AI integration and streaming architecture were fine-tuned for real-time reliability.
Deployment & Knowledge Transfer
The enterprise team was onboarded to manage workflows, remote supervision features, and scalable adoption across operations.
Field Testing & Optimization
The solution was tested in real workshop scenarios, ensuring stability under real lighting, motion, and environmental conditions.
Key Outcomes
Modernized Inspection Platform
Converted manual inspection processes into a structured, wearable-first digital workflow.
Real-Time Remote Collaboration
Enabled supervisors to monitor and guide inspections live with contextual AR overlays.
Reduced Operational Friction
Minimized workflow interruptions and reduced cognitive load on technicians.
Enterprise-Ready AR Framework
Established a scalable spatial computing foundation for future innovation.
Innovation Leadership
Easy benchmarking and future engine replacement
Project Highlights
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