Skip to main content

Edge AI & Vision Engineering

From sensor to inference on Xilinx (Zynq UltraScale+ / Versal / Kria), NVIDIA Jetson, and Arm Cortex-M + Ethos NPU, for industrial vision, ADAS, drones, smart city, and defence-tech product teams in India.

Three platform stacks · One engineering bench

Xilinx / AMD

Zynq UltraScale+, Versal AI Edge, Kria K26/K24 SOM

Tools: Vitis AI, Vitis HLS, Vivado, PetaLinux

NVIDIA Jetson

Orin Nano, Orin NX, Orin AGX, Xavier NX

Tools: JetPack / L4T, TensorRT, DeepStream, CUDA, cuDNN

Arm + Ethos NPU

Cortex-M55 + Ethos-U55/U65/U85, Cortex-A + Ethos-N78

Tools: Keil MDK, Vela, CMSIS-NN, TF-Lite Micro, Arm NN

From Sensor to Inference

Six engineering disciplines covering the full edge-AI lifecycle, picked by the silicon target, not by vendor allegiance.

01

Vision Pipeline + MLOps

Camera bring-up, ISP tuning, MIPI CSI-2, multi-cam sync, preprocessing, on-device data capture, drift detection, and OTA model updates.

02

Edge Model Optimisation

INT8 quantisation, pruning, distillation, operator fusion. Take a trained model and make it shippable on the silicon you actually picked.

03

FPGA-Accelerated Inference

Vitis AI on Zynq UltraScale+, Versal AI Edge, Kria SOM. DPU integration, PetaLinux, HLS accelerator IP for non-DPU operators.

04

NVIDIA Jetson Engineering

JetPack / L4T bring-up, carrier-board DTS, TensorRT optimisation, DeepStream pipelines, CUDA tuning, thermal envelope work.

05

TinyML on Cortex-M + Ethos-U

Cortex-M55, Alif Ensemble, Nordic, NXP, Renesas. Vela tuning, CMSIS-NN, TensorFlow Lite Micro, Keil MDK underneath.

06

Functional Safety for AI

ISO 26262 and IEC 61508 for ML in the loop. Deterministic inference, redundant-channel architecture, MISRA-compliant glue, static analysis.

Where This Lands in Indian Products

Industrial Vision

Defect detection, predictive maintenance, QC inspection.

ADAS / Automotive

Camera / radar / LIDAR fusion, DMS, parking, lane keep.

Drones & UAV

Aerial imagery, obstacle detection, target tracking.

Smart City / Retail

ANPR, people-counting, queue, behavioural analytics.

Defence Tech

ISR, target detection, situational awareness, MIL-grade.

The Bench GSAS Supplies

Engineering services pair with toolchain you actually own. We supply the commercial pieces of the edge-AI bench in India, Arm Keil MDK, Digilent FPGA boards, Perforce static-analysis, Razorcat unit testing. Xilinx / NVIDIA come through customer direct entitlement.

Edge AI & Vision Insights

Horizontal stacked bar showing where an ADAS test vehicle's bandwidth budget is spent, split into cameras, lidar, radar and bus traffic, with the logger uplink limit drawn as a vertical rule crossing the bar, from GSAS Micro Systems India
Automotive Ethernet Automotive & Mobility

ADAS Sensor Data Logging: Bandwidth Budgets That Add Up

Every page that tells you an ADAS test vehicle produces terabytes a day states the headline and skips the arithmetic, so you cannot redo it for your own sensor set. This article publishes the arithmetic instead: one formula, every table row derived on the page, a worked eight-hour drive that chains those rows into a sustained write rate, a media count and an offload window, and the five places bandwidth budgets go wrong. Written by the GSAS Micro Systems engineering team in India.

29 Aug 2026 · 15 min read
Three-panel workflow diagram of a SerDes camera bench: camera to deserialiser to recorder, then recorder to serialiser into the ECU for replay, then the same replay path with a fault injection block inserted before the ECU, from GSAS Micro Systems India
Automotive Ethernet Automotive & Mobility

SerDes Camera Links: GMSL, FPD-Link, ASA-ML and A-PHY

Four families carry automotive camera video, and only two of them have public documentation written for buyers. GMSL and FPD-Link are silicon-vendor interface families documented for board designers; ASA-ML and MIPI A-PHY are open specifications with published rate and reach figures and almost no practical buyer-facing writing. This page puts all four side by side with every rate class traced to the page it came from, then covers the part nobody writes: how you record, replay and inject a camera stream on a bench, and why none of it shows up in Wireshark. Written by the GSAS Micro Systems engineering team in India.

29 Aug 2026 · 14 min read
Two Cortex-M embedded engineers in a Bengaluru lab joining an Arm Keil MDK live webinar, with a CI/CD pipeline and an edge-AI model on screen
Keil MDK Arm

Two Arm Keil MDK Webinars This Summer: DevOps and Edge AI for Indian Cortex-M Teams

Arm is running two free live Keil MDK webinars this summer: DevOps with Keil MDK on 23 June and edge AI with ModelNova Fusion Studio on 21 July. What Cortex-M teams in Bengaluru, Hyderabad, Pune, Chennai, Mumbai, and Delhi NCR should know, shared by GSAS, Arm's authorized partner in India for Arm Development Tools.

17 Jun 2026 · 4 min read

Building an Edge AI or Vision Product?

Zynq UltraScale+ industrial vision, Jetson UAV payload, Cortex-M55 + Ethos-U battery camera, or smart-city analytics gateway, send us the brief, we come back with the engineering conversation.