INNOVAT LABS

Startup

DTU Delhi

Design a digital twin application that solve a real life problem in India

Factory ViewAR integrates IoT with AR for real-time monitoring and superimposing of AR based work instruction on physical equipments using 5G infrastrcuture. Design a digital twin application that solve a real life problem in India

VISION

Startup

ArtPark, IISc, Bengaluru

Cyber Security

V-Connect

VConnect is an immersive training platform designed to revolutionize how industries train their workforce. The platform leverages virtual reality (VR), haptic feedback, and 5G-enabled real-time collaboration to deliver lifelike simulations of industrial environments, allowing workers to train for complex tasks in a safe, controlled, and highly realistic setting. VConnect's core features include multi-modal interaction—combining visual, auditory, and tactile experiences—that enable users to engage with virtual machinery and equipment as if they were handling them in real life. This hands-on, immersive experience helps industries reduce the costs and risks associated with traditional training methods, such as on-site training for hazardous tasks, without compromising on skill development.

CABLESMITH

Startup

ArtPark, IISc, Bengaluru

Smart cities & Infrastructure

Cablesmith’s smart patch panel (Hardware) automates cable patching and testing with an AIdriven platform, reducing manual intervention, network downtime, and improving cybersecurity. It supports fiber sharing between operators, optimizing CapEx and OpEx. Designed for FTTH, backhaul, and in-building networks, it offers a cost-effective, streamlined fiber management solution.

CYPHERTEK_SIT

Startup

ArtPark, IISc, Bengaluru

Smart cities & Infrastructure

5G-Enabled Acconeer Sensor-Based Health Monitoring System with Posture Recognition

The solution uses non-invasive and non-contact technique to detect a vital parameter such as heart rate and respiration rate etc. Embodiments disclosed provide a technique to determine the heart rate and respiration rate based on the rate of the chest movement and the extent of displacement of the chest while breathing in and breathing out. The breath rate is determined using non-contact techniques based on a millimeter wave sensor. In one embodiment, the sensors emit millimeter wave signals (Radar sensors) and measure the time and frequency of the received (or reflected) signals to determine the rate of the chest movement and the extent of displacement of the chest while breathing in and breathing out.

REMOTE LABS

Student

IIIT Hyderabad

5G Enabled Consoles/Devices

Technical Note on IoT-based Remote Labs

Developed an end-to-end system integrating hardware and software to enable remote access to scientific equipment and resources. This online platform supports conducting experiments remotely, providing real-time outputs, interactive result visualization, and flexibility for distance learning. This approach ensures equal access to quality education regardless of geographical barriers and fosters greater engagement and understanding of complex subjects, particularly in STEM fields.

CYKLONES

Student

ArtPark, IISc, Bengaluru

Cyber Security

AI-Driven Network Maintenance

The solutions leverage machine learning algorithms to analyze real-time network traffic, detecting anomalies and predicting potential failures based on historical data and network behavior. It also uses a permissioned blockchain for securely logging detected anomalies, providing an immutable, decentralized audit trail that ensures data integrity and prevents unauthorized tampering. It integrates AI-driven automation to reroute traffic and restore network components without human intervention, ensuring continuous operation and minimizing downtime. Multimedia & Broadcast

SKY SAVIORS

Student

IIIT Hyderabad

Environment, Public Safety & Disaster Management

UAV Relaying and Positioning for Enhanced Public Safety using 5G NR PRS in Disaster Zone

5G technology Positioning Reference Signal (PRS) enables accurate location information and provides robust navigation in GPS-denied environments, ensuring precise drone control. 5G-enabled drone navigation enhances accuracy, reliability, and availability. UAVs can fly to hard-to-reach places, acting as mobile 5G towers, ensuring that communication is available even in remote locations.

MCTE MHOW

Academia

DTU Delhi

Smart cities & Infrastructure

AI BASED SURVEILLANCE APPLICATION FOR SMART CITIES

Leveraged AI models using Edge computing over 5G to develop following three solutions: i. Developed totally indigenous solution "AVEKSHAN", to identify civil and military vehicles using integrated multiple opto-electric sensors. It also helps in Real-Time object classification and identification over multiple live video feeds simultaneously, crowd detection/alert etc. ii. xFACE (Facial Detection System): An AI-based biometric authentication system which identify patterns of people movement with higher accuracy. iii. Vehicle Tracking System: A License plate recognition system trained on extensive datasets – 40k and also integrated with VAHAN Database (NIC) provides high Accuracy for HSRP/ Non HSRP Number plates.

TRIO TITANS

Student

DTU Delhi

All Other areas (Suo Moto)

Network Traffic Prediction in 5G for Guaranteed QoS using AIenabled xApps

Network Traffic Prediction in 5G for Guaranteed QoS using AI-enabled xApps: Leverage an ORAN 5G network and RIC to capture real-time traffic volumes, utilizing the MAC E2-SM service model with FlexRIC for data acquisition. Integrate xApps with FlexRIC to fetch downlink and uplink data volumes in real-time and employ an AI-driven LSTM model to predict future traffic volumes with a timeline resolution as low as 10ms. Use these predictions to proactively allocate RAN resources, optimizing PRB scheduling across both frequency and time domains

SURVEIL 5G SOLUTIONS

student

IIIT Hyderabad

Environment, Public Safety & amp; Disaster Management

IoT Enabled Rover Surveillance System for Hilly country Border Using Raspberry Pi & 5G Communication

A Raspberry Pi rover developed with IoT sensors and cameras enabled to do real-time video and data collection enforced through 5G tech for ultra fast, high speed, low-latency communication. The switch provides flawless data transmission through that runs even harsher areas of terrain allowing for more efficient surveillance responsiveness.

GAS - O - DETECT

Student

IIIT Hyderabad

Environment, Public Safety & Disaster Management

Gas - 0 - Detect

Our IoT-based gas monitoring and control system enhances safety and convenience by offering realtime gas leakage detection, level monitoring, and remote regulator control. Gas leakage is detected using an IoT application that triggers a buzzer sound for alert and activates an exhaust fan to expel the leaked gas. Additionally, the system allows users to monitor the gas level in the cylinder via a mobile app, which also operates an automatic ON/OFF regulator. The app further notifies users when the gas is nearing depletion, ensuring timely refills and enhanced safety. It minimizes risks by automatically venting gas upon leak detection and allows users to track gas levels and control supply via a mobile app, ensuring they are never caught off guard by a gas outage.

VISHNU TECH WARRIORS

Academic professional

IIIT Hyderabad

All Other areas (Suo Moto)

Advancing Predictive Maintenance in the Automotive Industry with Edge AI: Harnessing Industry 4.0, 5G Networks, and Deep Learning Models

Our flagship solution is an AI-driven Predictive Maintenance System for Commercial Fleets, designed to revolutionize vehicle maintenance by transitioning from reactive maintenance strategies to a predictive and proactive approach. This innovative solution leverages a combination of 5G networks, AI algorithms, and edge computing to deliver real-time monitoring, diagnostics, and predictive analysis of fleet vehicles. The system integrates data from multiple sources, such as real-time telematics, historical maintenance records, and telemetry data, to build a comprehensive view of each vehicle’s operational health. Using advanced AI models, including Convolutional Neural Networks (CNNs) and Ensemble Learning, the system can accurately predict component failures and alert fleet managers to perform necessary maintenance before costly breakdowns occur.

SEADAA

Academic professional

IIIT Hyderabad

All Other areas (Suo Moto)t

Stabilized Drone Imaging Mechanism for Precision Agriculture

SEADAA (Smart AI-Enabled Drone for Agriculture Applications) system is an innovative solution designed to revolutionize precision agriculture by combining AI, computer vision, and 5G connectivity in a modular framework. The PSO (Particle Swarm Optimization) optimized 127-layer CNN model, trained on a rice leaf image dataset with two classes (healthy and pest-damaged), addresses this need by automating the identification of pest damage in rice crops. A 5G camera is connected to the drone, allowing real-time image capture, which is processed by a trained CNN model for pest-damage detection. If damage is detected, the system captures the GPS location and publishes the location and corresponding image to an IoT server.