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Leopard attacks on farms are rising due to habitat loss from deforestation, forcing them to seek prey on nearby cattle farms.

The Jio research team found that farmers were unable to respond quickly, losing cattle and other farm animals often.

Traditional solutions have too many limitations to solve this problem.

PROBLEM SPACE

Indian farmers are unable to protect themselves.

24H SURVEILLANCE?

Requires staff to observe cameras that farmers cannot afford.

LIVESTOCK ENCLOSURES?

Severely limits livestock to enclosed area - quality of life affected.

UX DESIGNER?

Fast, farmer retains control. But how tdo we implement this?

Alerting farmers through a smart camera + mobile application.

Preview of captured feed.

Allows farmers to accurately locate leopard sightings and take informed decisions.

Customizable alerts.

Offering farmers flexibility filters out non-essential information, reducing alert fatigue.

Support anytime.

SOLUTION

24/7 support through calling/text/chatbot integrated throughout application.

Mid-Fidelity Wireframes

For the rest, I had to build new screens, while ensuring I was following the JioGauSamriddhi design system.

For some screens, I had to take the existing fleshed out design, and ideated how to integrate the new feature.

Original Layout

Final Layout

Experiment 1

Alert takes priority on screen, focusing attention on the issue

Farmer would likely look at all cameras after alert to track movement - needs intuitive flow

Quick link to all cameras instead of going through “Devices” tab on top bar

Access to alert history, assisting in tracking if info was missed

Limited optionality on where to go from here

Alert takes priority on screen, focusing attention on the issue, but priority is given to tutorial for MVP

Experiment 1

Experiment 3

Final Mid-Fi Design

Experiment 2

Too little space for all details

Card-style interaction is unnecessary

Way to edit is not clear

Way to edit is not clear

Improve UX copy - unfamiliar language

Go back to prev. page to switch camera

Can switch between cameras without going back

Can identify location of camera using feed, without reading

Tags are part of design system, familiar and works with existing system

Main button is not prominent

Prioritizes feed first

Clear “Edit” button instead of card flipping

Prioritizes “Details” and “Alerts” over feed

Cannot identify camera without checking feed

MY CONTRIBUTION

I prioritized the 'Camera' page as the primary interface. All design decisions were research-backed while adhering to the established design system.

Leopard/Animal Detector Screen

Cameras

Video Feed

Homepage/Dashboard

Devices Screen

Explorations with various formats for the main screens. Although there were preset layouts in the application, I tried to keep my mind open to new ideas at this stage.

Exploring through sketches

DESIGN

A short impactful flow works best for our users.

My plan of action

1

Research

Desk Research

Competitive Analysis

Research Insights

User Journey

2

AI Model

Data Management

Model Adjustments

3

Design

Lo-Fidelity

Mid-Fidelity

Exported Components

4

Final Solution

Final Designs

Reflection

APPROACH

An end-to-end solution using AI to power a real-time alarm system, ensuring the safety of farmers and their livelihoods.

AI Alert System for Safety

Our AI model could detect danger with 92% accuracy.

Jio Platforms required all our MVP elements to be ready, so I used my programming background to create the AI model to detect dangerous animals - focusing on leopards.

Detecting Leopards!

Here are the results of the AI model, functioning on various stock videos that the model has not seen before.

AI MODEL

Some things we missed out on for this project were:

  1. Usability testing
    (the project was not given the budget, but let’s hope for the future!)

  2. Multiple languages on the interface

  3. Evaluating interface with Harmonized Guidelines for Universal Accessibility in India

Reflecting on the experience.

I learned 2 key things through this project:

FARMING AND CULTURAL CONTEXT

Farming is an integral part of society, and the applications for the technology we contributed to can be seen in different cultural contexts. It would be interesting to design for American farmers in the future.

TIME BOUND PROJECTS

It was upsetting that usability testing was not completed before the end of the internship. However, this happens often in industry projects with low-budgets. I learned to adapt to the process that was feasible.

12 building blocks of a system for a new feature.

Here are some design components that were added to the Jio Design System after the project was completed.

The final flow was concise, quick, and insightful.

The flow would not be following the design goals if it were too long.
I minimized the number of clicks as far as possible, and optimized each step for user value and clarity.

Ability to move quickly from alert to monitoring to action.


Alerts displayed on home page for quick response.

Support integrated throughout application, over multiple platforms.


Contact Jio Support through various media.

Customizable alerts and notifications.


Change types of detection, sounds, and sensitivity.

A fast, intuitive, and supportive feature.

OUTCOMES

Users need quick alerts in a familiar system.

Lacking IoT experience, I reviewed academic literature for the system design. I developed an initial concept, which I later refined.

The IoT system design changed due to lack of data.

Initial Thoughts

AI Model

Phone App

IoT Device

Difficult for to create because would require large datasets of Indian animals.

Final System Design

Camera

Model

My design and dev area

User-Facing

AI Model

Phone App

Database

IoT Device

Solar Panel

Camera feed going through phone app gets reuploaded to cloud to populate the database.

RESEARCH

MY CONTRIBUTION

I saw the potential to repurpose captured feeds, using the images captured after the product was released to expand our Indian farm animal dataset.

Competitive analysis revealed that standard layouts work best for Indian users.

We examined farming security solutions and AI-based security solutions to inform the design of our application. We examined 8 solutions that were digital, physical, and some combination of both.

What were the user research takeaways?

I collaborated with the research team to understand the user pain points from the 7 qualitative unstructured interviews they had conducted on-site with Indian farmers.

Based on the research takeaways and user journey, we decided on a defined direction for our product.

Processes that take long not worth the work

Worry about support for tech issues

Fear of complications with setup

Worry about costing and maintenance

Minimal clicks from alert to action

24/7 tech support through phone calls

Video support for setting up system

MVP should be free, technicians on hand

Pain Points

Takeaways

Tenets and Design Goals

How do Indian farmers think about this problem?

To understand the mental model of the user group better, I constructed a user journey map. This also allowed me to focus on the exact opportunities needed for our solution.

Farmer receives early info about potential attack

Checks location of attack

Protects cattle and people

Is assured about effect

Things die down + adjusts app based on previous attack

Original user journey
Based on insights from farmers and research team

Proposed user journey (sketched)

Proposed user journey
Based on insights and prediction from research team

It is unlikely that this product will make this flow drastically easier for farmers. In the future, we would like to a solution that reduces the cognitive load further for our users.

CONTROL


  • Ability to update sensitivity of camera

  • Information about exact location of attack

SIMPLICITY


  • App is not overwhelmed with information

  • Limited capability, quick start-to-end flow

SUPPORT


  • Solve issues through multiple sources

  • Setting up made smooth by technicians

My role in this product was to complete a working prototype of the warning system, from leopard recognition to the design of the alarm feature in the mobile application.

I worked under the supervision of a design lead who guided me through every step of the process, especially the technicalities of dataset management and IoT integration.

JioGauSamriddhi is an information system that uses smart collars with a mobile application to monitor’s cattle behavior – heat trends, milk production, health – in an effort to make farms smarter.

Jio Platforms Ltd., is an Indian technology company with applications that span television, to cloud storage, to farming technologies.

What is the product?

What was my role?

Competitive Analysis

Journey Mapping

Data Cleaning + Augmentation

AI Engineering

Sketching

Wireframing

Prototyping

Product Design Internship

June 2023 - Nov 2023

Figma

FigJam

TensorFlow

Python

Google Colab

Roles & Responsibilities

Context

Tools

Individual + Manager


Team