ArchiveMay 6, 2026

Env.ai

Name: Env.ai
Price: 1450.00 OMR
Author: Saif Al Hashar

Building AI for a cleaner recycling future

Saif Al Hashar

The challenge isn't awareness. It's sorting.

Plastic waste remains one of the clearest sustainability challenges in Oman and across the region. Manual sorting is time-consuming, costly, and error-prone. Waste that could be recovered ends up unrecycled. That creates a chain reaction: environmental damage, lost material value, and operational inefficiency.

91%

of global plastic waste goes unrecycled

2.14M

tons of unrecycled plastic in Oman annually

256.8M

OMR in lost plastic value every year

Where it started

Env.ai started with one simple question:

Can AI make recycling easier to understand, easier to sort, and easier to act on?

That question stayed with me because the problem is not abstract. It is real, visible, and frustratingly inefficient. Sorting is manual, slow, expensive, and disconnected from the tools people actually use every day. What made Env.ai meaningful was that it was never just an AI experiment. It was an attempt to connect technology with a real environmental challenge affecting businesses, recycling systems, and communities.

What Env.ai became

A smart bin that recognizes waste, identifies the material, and directs it into the correct slot automatically. The system was designed to feel effortless for the user while being intelligent and efficient behind the scenes. It runs on affordable hardware, including Custom Hardware, so it stays practical in places where cost matters. Fast recognition, low-cost operation, and a clear path toward deployment.

How it works

01

Item placed in bin

Camera captures the object on entry

02

CNN classification

Model identifies plastic type at 82–93%+ accuracy

03

Automatic routing

Sorted into the correct slot no human input needed

Manual sorting vs Env.ai

Operational Metric

Manual Sorting

env.ai

Processing Time

2–4 minutes per kg

Instant

Sorting Cost

~1.600 OMR per kg

~0.085 OMR per kg

Accuracy

Highly variable

82% – 93%+depends on plastic type

Health & safety

Depends on environment

Assured by automation

Scalability

Linear cost (labor)

Over-the-air updates

Waste = value

Plastic waste is not just an environmental problem. It's an economic one. When sorting fails, recoverable value disappears. Env.ai turns waste into structured, recoverable value.

Plastic Type	Common Items	Market Price (USD/Ton)
PET	Water bottles, food containers	$300 – $600
HDPE	Milk jugs, shampoo bottles	$500 – $800
LDPE	Plastic bags, wraps	$400 – $600
PP	Food tubs, straws	$500 – $900
PS	Disposable cutlery, foam cups	$200 – $400
PVC	Pipes, cable insulation	$50 – $150

Pricing

HARDWARE

Smart Unit

AI-equipped smart bin unit with integrated multi-material sorting actuators.

AI sorting technology

Hardware deployment

1 year maintenance

OTA updates

1,450

OMR

Per Unit (Hardware purchase)

SERVICE

Plus

Ongoing maintenance and system support.

Maintenance contract

OTA updates

Technical support

0.040

OMR

Per kg of waste sorted

PREMIUM

Most complete

Enterprise

Full-service waste sorting operations including live analytics dashboards and physical waste retrieval.

Real-time ESG dashboard data

Coordinated collection logistics

Custom API integration

0.085

OMR

Per kg of waste sorted

For pilot deployment inquiries, contact me directly via email.

Inquire via Email

Recognition

Env.ai became part of a broader journey of building, presenting, and representing Oman through innovation. Through this project I represented Oman at the London International Youth Science Forum 2025 (LIYSF), presenting Env.ai to an international audience of 400+ young scientists from 90+ countries. Env.ai also placed 1st at the UTAS Engineering Bash, 2nd at the South Al-Sharqiya Hackathon, and 2nd in the Entrepreneurship Hackathon, and was a finalist at the Qimam "Creators of Ideas" competition.

International Recognition · British Omani Society

London International Youth Science Forum 2025

Represented Oman among 400+ participants from 90+ countries, presenting Env.ai at the Science Bazaar in London.

London, United Kingdom

Read official coverage

UniversityUTAS Engineering Bash

1st Place

University-level engineering showcase

CompetitionSouth Al-Sharqiya Hackathon

2nd Place

Regional competitive hackathon

Entrepreneurship HackathonCommercial and entrepreneurial potential

2nd Place

Qimam "Creators of Ideas"National innovation competition

Finalist

Featured coverage

Times of Oman

Oman Observer

Muscat Daily

Al Waha Magazine

Hala FM

Al Sahwa

Radio Interview - Ayn FMTalking about Env.ai and the future of AI in sustainability - May 2026

Listen on Ayn FM

Video FeatureA short documentary-style feature on the project

Play feature

Frequently Asked Questions

What specific problem does Env.ai target?

How does Env.ai work?

Why focus on plastic sorting?

What technologies were used?

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More from the archive

Saif Al Hashar

May 13, 2026

Media and RecognitionThe part of the work that ran in publicMedia

National press and TV in Oman, an international science forum in London, campus features, and founder spotlights covering RAF, Env.ai, and Wasl. Every item links to a public source you can check yourself.