Innovation Base Quiz
Winners of the previous Quiz
13/06/2025

Tanush
Class 8
NPS kengeri

Nischitha Gowda UK
Class 7
Saketh Mother Teresa School Sathnur

DEVRAJ
Class 7
New Age High School

Tanmayi
Class 4
G R international public school

Chatur H
Class 7
Vidya Jyothi School

L Kushil Prasad
Class 4
St Michel's English School, Kanakapura

aditya Raj
Class 4
VIDYA JYOTHI SCHOOL

Ishaan S Gowda
Class 6
National public school Banashankari

Aryan
Class 4
New Cambridge international public school

Ishanth gowda k.v
Class 7
Sri Vasavi Vidya samsthe
Note: Quiz prizes will be awarded to ten randomly selected students who submit correct answers before the deadline. Winners will be declared on the website and the weekly newsletter.

June 13, 2025
Q1. You are part of a research team developing an automated mango sorting system for a fruit processing plant. The system is designed to classify mangoes into three ripeness stages: Unripe, Ripe and Overripe.
Sensor System
To determine ripeness, the system uses the following three sensors:
- Force Sensor: Measures firmness by converting the mango’s mass (in grams) into force (Newtons)
- Colour Sensor: reads RGB values to determine skin colour
- NIR Sensor: measures Brix level to detect sugar content
Sensor Conflict Rule
Due to occasional calibration variances, the sensors may provide conflicting ripeness data. Your task is to develop a decision-making model to resolve these conflicts, based on the following logic:
- If two sensors agree on the ripeness stage, select the majority result.
- If all three sensors indicate different ripeness stages, follow the priority order below:
Brix (NIR) > Colour (RGB) > Force
Refer "Referance Image" for the "Sensor Readings for 4 Mango Samples" values
Note: The force sensor records mass in grams, but the system internally converts this to Newtons using the following formula:
Force (N)=Mass (g)×9.8 /1000
Refer "Referance Image" for the "Threshold Reference Table (Machine Sorting Logic)" values
Sorting Containers
The system directs mangoes to one of the following containers based on ripeness:
Green container → Unripe mangoes
Orange container → Ripe mangoes
Red container → Overripe mangoes
Question: Based on the sensor readings, decision model, and sorting rules, into which containers are Samples A, B, C, and D sorted, and how many mangoes does each container contain after sorting?





Q2. You are helping to develop an automated mango grading system at a fruit packaging centre. The system uses three advanced sensors to detect how ripe a mango is:
- Force Sensor: measures firmness (indicates ripeness)
- Colour Sensor : reads RGB values to determine skin colour
- NIR Sensor: measures Brix level to detect sugar content
Your system needs to sort 4 mango samples (A, B, C, D) into these categories: Unripe, Ripe, and Overripe.
Refer the "Referance Image" for the "Sensor Readings for 4 Mango Samples" values.
Refer the "Referance Image" for the "Sorting Rules (Ripeness Thresholds)" values.
Note: If at least 2 out of 3 sensors match the same ripeness level, the machine sorts it into that category.
Sorting Containers
The system will place each mango into one of the following containers:
Green Container – Unripe Mangoes
Orange Container – Ripe Mangoes
Red Container – Overripe Mangoes
Question: Based on the sensor readings and ripeness thresholds, into which containers are Samples A, B, C, and D sorted, and how many mangoes does each container contain after sorting?





June 06, 2025
Q1. Scenario : Arin is flying Falcon One, the jet which urgently requires fuel to continue its long-range patrol. Atlas is the tanker that will refuel Falcon One.
Atlas is flying directly above Falcon in parallel alignment. However, to initiate the probe-and-drogue refuelling method, Atlas needs to move slightly ahead of Falcon while maintaining parallel flight.
Currently, Falcon One is travelling at 150 m/s, while Atlas is flying ahead at 200 m/s.
Arin begins to accelerate steadily, aiming to catch up and match Atlas's speed precisely where the horizontal gap falls within the safe zone.
Refer the 'Formula' from the referance image.
Question: Arin needs to find the minimum time at which he can match Atlas’s speed and achieve a safe horizontal gap of 15 to 24 metres. Based on the data below, which option represents the earliest valid moment to begin refuelling?





Q2. Scenario : Arin, a skilled Air Force pilot, is flying Falcon One, a jet that urgently needs fuel to complete its patrol. Atlas is an aerial tanker specially equipped for mid-air refuelling. His mission is critical — to align the Falcon at a technically suitable position to complete the fuelling.
Atlas is flying directly above Falcon in parallel alignment. However, to initiate the probe-and-drogue refuelling method, Atlas needs to move slightly ahead of Falcon while maintaining parallel flight.
To refuel Falcon safely using the probe and drogue method, Falcon One must not fly directly ahead of Atlas. Instead, Arin must carefully fall behind Atlas by 15 to 24 metres before engaging the refuelling system.
Currently, Falcon One is flying slower at 192 m/s, while Atlas is cruising ahead at 200 m/s. Arin pushes the throttle steadily, increasing Falcon One’s speed by 1.6 m/s every second. He wants to know how many seconds it will take to reach the same speed as Atlas (200 m/s).
Question: How many seconds will it take for Falcon One to reach 200 m/s? At that moment, which option correctly shows Falcon One in the safe refuelling position — 15 to 24 metres behind Atlas?





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