1st India Computer Vision Hackathon 2026
Information Sharing and Analysis Center — ISAC
📌About the Event
The 1st India Computer Vision Hackathon 2026 by ISAC is a national-level innovation challenge for students and working professionals across India. The hackathon focuses on solving real-world problems using Computer Vision, Artificial Intelligence, and Machine Learning. Participants will work in teams to build solutions around practical use cases such as face recognition, tampering detection, industrial inspection, accident detection, and video retrieval. The event is scheduled for 5–6 August 2026 at RV College of Engineering, with a prize pool of up to ₹5,00,000.
ℹ️ Event Details
- Organiser: Information Sharing and Analysis Center — ISAC
- Domain: Computer Vision, Artificial Intelligence, Machine Learning
- Mode of Conduct: Offline / venue-based hackathon
- Venue: RV College of Engineering, Bengaluru
- Event Dates: 5th & 6th August 2026
- Team Size: 2–5 members
- Prize Pool: Up to ₹5,00,000
- Focus Areas / Problem Statements:
- Masked Face Recognition
- Live Tampering Detection
- Industrial Crack Inspection
- Highway Accident Detection
- Natural Language-Based Video Retrieval
📅 Important Dates
- Registration Deadline: 15th July 2026
- Hackathon Dates: 5th & 6th August 2026
- Venue: RV College of Engineering, Bengaluru
🎯 Eligibility & Rules
- Eligibility:
- Open to students and working professionals across India.
- Suitable for participants interested in Computer Vision, AI, ML, video analytics, intelligent surveillance, and real-world tech innovation.
- Team Rules:
- Participants must register in teams of 2 to 5 members.
- Teams are expected to choose or work around one of the announced computer vision problem statements.
- Problem Statement Areas:
- Masked Face Recognition
- Live Tampering Detection
- Industrial Crack Inspection
- Highway Accident Detection
- Natural Language-Based Video Retrieval
🏆 Benefits for the Participants
- Prize Pool: Up to ₹5,00,000
- Other Incentives:
- Opportunity to showcase AI and computer vision skills
- Chance to collaborate with peers and innovators
- Exposure to industry experts and technology professionals
- Recognition for building practical solutions in emerging AI fields