From Smart Stores to Secure Spaces
Retail is evolving fast, and customer expectations demand frictionless experiences. TechnoLynx helps retail innovators deliver checkout-free systems, real-time security monitoring, and scalable vision pipelines—all without compromising speed or accuracy.
Industry Landscape
Autonomous retail and smart store technologies face challenges like:
Legacy solutions often fail to scale without expensive hardware upgrades. Our expertise in GPU optimisation and computer vision ensures your systems run faster, smarter, and more reliably.
Why Choose Us?
Enterprises expect measurable outcomes. Our modules deliver human‑perceived quality metrics and low‑latency pipelines, accelerating pilots into offer‑ised services operators can market.
Proven Edge AI Expertise
Retail
We optimise vision pipelines for commodity hardware using TensorRT and ONNX.
Scalable Multi-Camera Tracking
Retail
Predictive models for non-overlapping camera views.
Security Action Recognition
Retail
Automated detection of critical events for safer retail environments.
Explore our latest thought leadership on innovation, technology, and industry best practices.
Feb 10, 2023
Learn how TechnoLynx built a cost-efficient, AI-powered multi-target tracking system using existing CCTV infrastructure. Real-time object tracking across non-overlapping cameras using global and local IDs.
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Jan 11, 2023
See how TechnoLynx used AI-powered action recognition to improve video analysis and automate complex tasks. Learn how smart solutions can boost efficiency and accuracy in real-world applications.
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TechnoLynx delivered the project on time and provided quality outputs that met the client's expectations. The team was proactive in providing ideas and suggestions, and they were careful at properly planning the tasks. The client also praised the team's expertise in GPU programming and AI.
TechnoLynx's skill in low-level software development was impressive. TechnoLynx was able to create four prototypes with common components and an interface for easy maintenance. The client was extremely happy with the solution's speed. Moreover, their communication was seamless and straightforward.
TechnoLynx's unique aspect is that they're able to transform complex theories into practicable and applicable results. TechnoLynx provides research reports and architecture planning documents. The team is able to transform complex theories into practicable and applicable results. TechnoLynx's project management is strong and delivers work on time without hardware issues, being responsive through virtual meetings.
I’m delighted with our collaboration with their team. Thanks to TechnoLynx's work, the client has been able to co-author two patents. They lead responsive project management to solve problems quickly. The team also praises their skilled and knowledgeable team.
We had high-efficiency meetings TechnoLynx’s work resulted in a successful breakthrough, and their input improved the client’s app. Their flexible and organised project management cultivated a healthy collaboration experience. Ultimately, their professionalism and commitment were impressive.
What specific retail problems do you solve?
Checkout‑free performance bottlenecks, multi‑camera tracking across non‑overlapping views, real‑time loss‑prevention/event detection, and reliable edge deployment on cost‑sensitive hardware.
Can you work with our existing cameras and infrastructure?
Yes. We integrate with common video pipelines (e.g., via FFmpeg) and build computer‑vision layers that run on your current NVR/edge setup, minimising hardware changes.
How do you handle privacy and compliance in stores?
We design for data minimisation and explainability from the start (de‑identification options, human‑in‑the‑loop review, audit‑friendly outputs), aligning with GDPR/EU AI Act expectations.
Do your models run in real time on low‑cost hardware?
Yes. We optimize inference with CUDA/TensorRT/ONNX and prune pipelines to hit real‑time targets on commodity edge devices.
What evidence can you share?
Two representative projects:
1. Multi‑Target Multi‑Camera Tracking (real‑time, cross‑camera tracking)
2. Action Recognition for Retail Security (automated detection of critical actions)
Both are documented as public case studies.
How do projects start?
Typically, with a feasibility study using a subset of your cameras/data, followed by a pilot and staged rollout. Deliverables focus on measurable reliability and operational fit.
How do you measure success?
We align on retail‑specific KPIs (e.g., correct event detection rate, latency per stream, operator intervention rate) and report gains against an agreed baseline.
