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Home: Anjaneya AutomationFrom Idea to Intelligent Machines
R&D

R&D and product engineering

Most projects reach us as a sketch, a problem or a half-working prototype. We work out what the product must do, what it can cost and what could stop it, then build the riskiest parts first. Computer vision, AI and simulation come in when the problem needs them.

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Where AI fits

AI proofs of concept

Before you commit to a full product, we test whether AI can solve the problem on real data, and tell you plainly if it can't.

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  • Feasibility on your own data
  • Vision, sensor and language models
  • Clear go or no-go
What we do

What we do

Turn an idea into a working prototype, and a plan for building it.

Feasibility and requirements

We test the idea against physics, cost and schedule before money goes into tooling: sensor choices, power budget, BOM cost targets and a risk list.

  • Requirements
  • BOM costing
  • Risk review

System architecture

How hardware, firmware, apps and cloud share the work: block diagrams, interfaces, protocols and the choice of microcontroller or processor.

  • Block diagrams
  • Protocols
  • MCU and MPU selection

Proofs of concept and prototypes

Dev-kit proofs first, then custom boards and enclosures, built and brought up on our own bench.

  • Rapid prototyping
  • Board bring-up
  • Enclosures

Computer vision and 3D

OpenCV pipelines, YOLO detection, point clouds and depth cameras for inspection and measurement, running on Jetson, Raspberry Pi or a PC.

  • OpenCV
  • YOLO
  • PCL and Open3D
  • Depth cameras

AI and simulation

Local AI models, digital twins and simulators that let you test logic and processes before you touch the hardware.

  • Local AI
  • Digital twins
  • Simulation

Compliance preparation

Design rules and documentation aimed at CE, FCC and RoHS from the first schematic. Testing itself happens at accredited labs, which we coordinate.

  • CE
  • FCC
  • RoHS
Process

How a project runs

  1. 01

    Discovery

    Goals, constraints, users and the environment the product will live in, written down and agreed before design starts.

    • Requirements document
    • Risk list
  2. 02

    Feasibility

    The hard questions answered with calculations, simulation or quick bench tests.

    • Feasibility report
    • BOM estimate
  3. 03

    Architecture

    The system split across hardware, firmware, apps and cloud, with key parts selected.

    • Block diagram
    • Interface specification
  4. 04

    Proof of concept

    The riskiest part built first on development kits, so surprises show up early and cheaply.

    • Working proof of concept
    • Test data
  5. 05

    Prototype

    Custom PCB, firmware and app working together, first on the bench and then in the field.

    • Prototype units
    • Test report
  6. 06

    Plan for production

    What it will take to finish the design and build it: scope, budget and timeline.

    • Development roadmap
    • Production plan

What you receive

Everything is yours at handover, including the source and its history.

  • Requirements document

    What the product must do, agreed and signed off.

  • Feasibility report

    Calculations, test results and the risks that remain.

  • System architecture

    Block diagrams, interfaces and part choices.

  • BOM cost estimate

    Bill of materials with prices at your target volumes.

  • Working prototype

    Hardware, firmware and software you can hold and test.

  • Test report

    Bench and field results against the requirements.

  • Design files and source

    Everything we made, with full version history.

  • Production roadmap

    The path from prototype to a product you can sell.

Tools

Tools we use

  • Vision and analysis

    Python and OpenCV

    Image processing, measurement and data analysis.

  • Model training

    PyTorch and TensorFlow

    Detection, classification and segmentation models.

  • 3D processing

    PCL and Open3D

    Point clouds from depth cameras, structured light and LiDAR.

  • Edge deployment

    Jetson and Raspberry Pi

    Models optimised with TensorRT, TFLite or ONNX Runtime.

  • Circuit simulation

    LTspice

    Power, filter and analogue checks before layout.

  • Robot perception

    ROS 2

    Camera and LiDAR pipelines for robots and AGVs.

Work

Related work

All work
Health devicesWorking prototype

Contactless vital-signs monitoring

A 60 GHz radar and a thermal camera measure heart rate, breathing and temperature without touching the patient, shown on a branded touch-screen kiosk.

Read the case study
AI inside
Medical imagingWhole-slide imaging

A lab microscope turned into an AI slide scanner

We added X, Y and Z axes to a lab microscope so it captures a whole slide tile by tile and stitches it into one image. Our AI software then flags suspected cancer cells, using the settings the doctor or lab technician chooses.

Read the case study
Diamond and gemDesigned in-house

The Diamond Planner machine, designed end to end

A machine that scans a rough diamond in 3D and plans the most valuable stones inside it, using our own gravity-based optimization. We designed all of it: the mechanics, the 6-axis controller board and the software.

Read the case study
Next servicePCB design
From Idea to Intelligent Machines

Ready to make your machine smarter?

Tell us about the machine you run or the product you imagine. We reply within 24 hours on working days. We sign an NDA before you share details.

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