Coccovision Link

The kiosk at the mall had been there for three weeks before anyone noticed it.

It wasn't hidden, exactly. It sat between the failing candle store and the shuttered fountain, wrapped in matte white plastic with a single word printed in soft pink lowercase: coccovision.

Most people walked past it the way they walk past fire exits — aware, but purposefully blind.

Lena was not most people. Lena had thirty minutes to kill before her shift at the food court started, and she had a headache that no amount of ibuprofen could touch.

The screen on the kiosk was small and round, like a porthole. Below it, a single line of text blinked:

what do you wish you could unsee?

She almost laughed. What a gimmick. But her fingers were already moving, tapping the screen like it was a bruise she couldn't stop pressing.

A keyboard appeared. She typed:

my mother's face the last time I visited

The screen went dark for a moment. Then, gently, a pair of goggles descended from a slot in the kiosk. They were lightweight, almost fragile, the color of coconut water. The frame was warm to the touch.

put them on. countdown: 10 seconds.

Lena looked around. A security guard passed at the far end of the corridor, not glancing her way. An old man fed a quarter into a broken gumball machine.

She put them on.


There was no darkness. That was the first surprise. Instead, the world became softer. The fluorescent mall lights, which usually hummed like trapped hornets, dimmed to something amber and quiet. The polished tile floor stopped screaming its reflections.

And then she saw it.

Not a memory. Not exactly. It was more like the world had been re-textured. The air in front of her rippled, and she was standing in her mother's kitchen — but it was the kitchen from when she was seven. The linoleum was curling at the edges. The curtains had little strawberries on them. coccovision

Her mother stood at the sink, but her face was turned away. Always turned away. Even in the real memory, her mother had been turned away.

But here, in Coccovision, her mother slowly turned.

Lena's breath caught.

The face was not the hollow, disappointed mask from three months ago. It was not the tight-lipped grimace that had made Lena drive home in silence with her hands shaking at ten and two. It was younger. Softer. The eyes were not guarded. They were simply — looking at her.

Her mother smiled. Not the thin, performative smile she gave to neighbors. A real one. The kind that makes the corners of the eyes crease like folded paper.

"I see you," her mother said, in a voice that was somehow both a memory and not.

And then the goggles went dark.


Lena pulled them off. The mall rushed back — harsh, loud, smelling of cinnamon pretzels and floor wax. Her headache was gone. Not dulled. Gone.

She returned the goggles to the slot. The screen displayed a new message:

session complete. your unseeing has been filed.

Below it, in smaller text:

note: coccovision does not erase. it reframes. memories are not wounds. they are rooms. we simply change the light.

Lena stood there for a long moment, blinking at the ordinary corridor.

A teenage girl walking with her friends slowed down, reading the kiosk. "What is that?" she asked, nudging her companion.

"Just another weird mall thing," her friend said, pulling her away. The kiosk at the mall had been there

Lena watched them go. Then she looked back at the porthole screen. It had reset to its original prompt:

what do you wish you could unsee?

She thought about typing something else. She thought about the fight with her brother she hadn't spoken about in two years. She thought about the car accident. She thought about a hundred small moments she carried like stones in her pockets.

But she didn't type anything.

Because she understood, standing there in the artificial light, that Coccovision wasn't really about unseeing. It was about being brave enough to look at something a second time — and letting it look different.

She touched the edge of the kiosk once, lightly, the way you'd touch someone's hand to say thank you without words.

Then she walked to the food court, and for the first time in months, the world didn't feel so sharp.


The kiosk was gone the next day.

The space between the candle store and the fountain was just empty vinyl tile, scuffed clean, as if nothing had ever been there at all.

But sometimes, when Lena closed her eyes, she could still see that kitchen.

And her mother's face, finally turned toward her, was the only thing she never wanted to unsee.

"Coccovision" (often spelled Coccivision) refers to the application of computer vision and machine learning technologies specifically tailored for the coconut industry. This specialized field focuses on automating the labor-intensive tasks of detecting, harvesting, and grading coconuts using advanced image processing. Core Technology and Functionality

Modern Coccovision systems typically leverage Deep Learning architectures, such as Faster R-CNN or YOLO, to process visual data. These systems function through a multi-step pipeline:

Image Acquisition: Capturing digital images or videos of coconut trees and fruit using cameras, drones, or ground sensors.

Preprocessing: Normalizing lighting conditions and reducing "noise" (like leaves or branches) to prepare the data for analysis. There was no darkness

Object Detection & Classification: Identifying the location of coconuts within a complex canopy and categorizing them by:

Maturity: Distinguishing between tender (green) and mature (brown) coconuts. Quality: Detecting defects or diseases in the fruit. Key Industry Applications

The primary goal of Coccovision is to modernize traditional farming and reduce the ergonomic physical risks faced by laborers.

Robotic Harvesting: Integration with robotic arms to precisely cut mature bunches without damaging the tree.

Post-Harvest Grading: Automated systems that sort coconuts based on size, weight, and quality for commercial distribution.

Yield Estimation: Using drones to count coconuts across large plantations, providing farmers with accurate production forecasts. Current Challenges

Despite high precision—with some models reaching 88% precision and 85% accuracy—significant hurdles remain:

Occlusion: Dense foliage and overlapping branches often hide coconuts from camera view, making detection difficult.

Environmental Variability: Changing sunlight and weather conditions can affect the consistency of visual data.

Ground Collection: Systems acquiring images from the ground are prone to false positives due to environmental debris.

Ongoing research, particularly in regions like Tamil Nadu, India, continues to refine these models for real-world deployment in large-scale agriculture. History of Computer Vision and Its Principles - alwaysAI

By 1979, a good color television cost 400,000 Lire. A VHS player cost 600,000 Lire. The Coccovision Telebook Model 1? 2,450,000 Lire. Adjusted for inflation, that is roughly €12,000 ($13,000 USD) today. It was more expensive than a small Fiat Panda. Only two kinds of people bought it: wealthy industrialists and television museums.

To understand Coccovision, one must first understand the climate of Italy in the late 1970s. The economic miracle of the 1950s and 60s had transformed the country from a war-ravaged agrarian society into one of the world’s leading industrial powers. Olivetti had reinvented the office. Vespa had reinvented the road. But the living room? The living room was still dominated by German (Grundig, Telefunken) and Japanese (Sony, Panasonic) giants.

Enter Enzo Coccos, a brilliant, eccentric engineer from Bologna. Coccos had spent the early 1970s working at RAI (Italy’s state broadcaster) and was deeply frustrated. He saw that television was a passive, scheduled, broadcast-only medium. If you missed Carosello at 8:50 PM, it was gone forever. If you wanted to watch a film, you had to wait for the Techetechettè archive to deign to air it.

Coccos had a vision. What if the television was not just a receiver, but a library? What if it could record, store, and play content on demand? Before DVRs, before TiVo, before Netflix, Coccos imagined Coccovision.

The core concept was deceptively simple: a television set with an integrated, proprietary video cassette recorder (VCR) and a massive (for 1978) database of content. But unlike Sony’s Betamax or JVC’s VHS, which were separate players you hooked up to a TV, Coccovision was an all-in-one ecosystem.