Profile
Project
Need(s) of the project
Abeer Khan
Rampur, Uttar Pradesh, India
IT, Quality Management, Engineering
His\Her Talents
Years of experience:
0-5 years
Abilities:
At ease with ideas, Active and dynamic, Organised, Oriented objectives , Attached to principles, Flexibility
Languages:
{{ ''|langNameByCode}} - Full professional proficiency
{{ ''|langNameByCode}} - Native or bilingual proficiency
Accomplishments:
Successfully delivered multiple projects, including a Student ID Card Generator, ORO (a US-based project), and various CRM and AI-driven solutions. I have consistently demonstrated strong technical capability and was also a top performer in my university.
His\Her Projects
Educations
Experience
Description:
We are developing an AI-powered motion freeze detection system designed for industrial environments such as factories, warehouses, and construction sites. The system analyzes live video streams from existing CCTV cameras and uses advanced computer vision to detect abnormal stillness, machine idle freeze, worker immobility, and early indicators of accidents in real time.
Using lightweight frame-differencing algorithms, micro-motion analysis, and AI-driven event classification, the platform identifies when a worker collapses, when a machine halts unexpectedly, or when productivity is disrupted due to unnoticed micro-stops. When detected, the system instantly triggers alerts, records clips, and provides detailed analytics to improve safety and operational efficiency.
This solution acts as a 24/7 intelligent safety supervisor, reducing workplace accidents, minimizing downtime, and improving overall industrial productivity without requiring any new hardware. It is a software-only, scalable technology targeted at industrial SMEs looking for an affordable and effective AI safety solution.
Using lightweight frame-differencing algorithms, micro-motion analysis, and AI-driven event classification, the platform identifies when a worker collapses, when a machine halts unexpectedly, or when productivity is disrupted due to unnoticed micro-stops. When detected, the system instantly triggers alerts, records clips, and provides detailed analytics to improve safety and operational efficiency.
This solution acts as a 24/7 intelligent safety supervisor, reducing workplace accidents, minimizing downtime, and improving overall industrial productivity without requiring any new hardware. It is a software-only, scalable technology targeted at industrial SMEs looking for an affordable and effective AI safety solution.
Project progress: 1- Definition of Conceptproject-logo-part
0 Fan
0 Vote
0 Comment
Share
Register to learn more about
the project / the company
- Specific activity
- Market type
- Type of offer
- Forecast turnover in 5 years
- R&D program necessary
- View the Video Pitch
- Project website
- Project blog
the need(s)
- Partner’s role
- Expected abilities
- Experience abroad
- Travel required
- Comment
- Deadline
- Status of the need
the founder
- Join IDEASVOICE
- Date of Birth
- My social networks
- All Education
- All Experience
Sign Up
