Video Analytics Developer(s) | Computer Vision
Budget: ₹75,000 – ₹150,000 INR
We are seeking a talented and self-motivated freelance developer(s) or agency to build our cutting-edge video analytics software project.
Project Overview:
You will be developing components for a cloud-native video analytics software with built-in AI capabilities. The system will analyze video feeds to detect and classify faces, humans, vehicles, and behaviors, as well as assess potential security threats.
Key Responsibilities:
1. Develop a robust AI engine capable of running analytical applications on network edge devices, including cameras.
2. Implement high-precision AI algorithms for detecting and classifying faces, humans, vehicles, and two-wheeled vehicles.
3. Create analytics features including intrusion detection, loitering detection, direction detection, cross-line detection, and non-mask detection.
4. Design and implement AI-based people detection algorithms to extract and classify facial and clothing characteristics.
5. Develop AI-based vehicle detection algorithms to extract and classify vehicle characteristics.
6. Create a system to identify and report worst-performing traffic hotspots in real-time or near real-time.
7. Implement functionality to report traffic flow and average speed on major arterial roads.
8. Develop a cloud-native, RESTful API-based system for incident reporting and management.
9. Create an automated Standard Operating Procedure (SOP) trigger system for incident reports.
10. Design and implement a daily Management Information System (MIS) report generation feature for road planners.
Certainly! Here's the updated job description with deliverables included:
Job Title: AI-Powered Video Analytics Software Developer for Traffic Management
[Previous job description content remains the same]
Deliverables:
1. AI-powered Video Analytics Software with the following components:
a. Edge-based AI engine for analytical applications
b. AI-based detection and classification algorithms for faces, humans, vehicles, and two-wheeled vehicles
c. Analytics modules for intrusion detection, loitering, direction detection, cross-line detection, and non-mask detection
d. AI-based people detection module with characteristic extraction and classification
e. AI-based vehicle detection module with characteristic extraction and classification
2. Traffic Hotspots and Incident Monitoring Solution including:
a. Real-time/near real-time traffic hotspot identification and reporting system
b. Traffic flow and average speed reporting module for major arterial roads
c. Incident capture and reporting system, including citizen reporting functionality
d. Cloud-native, RESTful API-based system architecture
e. Automated SOP trigger system for incident reports to Command Control
f. Daily MIS report generation module for road planners
Project Overview:
You will be developing components for a cloud-native video analytics software with built-in AI capabilities. The system will analyze video feeds to detect and classify faces, humans, vehicles, and behaviors, as well as assess potential security threats.
Key Responsibilities:
1. Develop a robust AI engine capable of running analytical applications on network edge devices, including cameras.
2. Implement high-precision AI algorithms for detecting and classifying faces, humans, vehicles, and two-wheeled vehicles.
3. Create analytics features including intrusion detection, loitering detection, direction detection, cross-line detection, and non-mask detection.
4. Design and implement AI-based people detection algorithms to extract and classify facial and clothing characteristics.
5. Develop AI-based vehicle detection algorithms to extract and classify vehicle characteristics.
6. Create a system to identify and report worst-performing traffic hotspots in real-time or near real-time.
7. Implement functionality to report traffic flow and average speed on major arterial roads.
8. Develop a cloud-native, RESTful API-based system for incident reporting and management.
9. Create an automated Standard Operating Procedure (SOP) trigger system for incident reports.
10. Design and implement a daily Management Information System (MIS) report generation feature for road planners.
Certainly! Here's the updated job description with deliverables included:
Job Title: AI-Powered Video Analytics Software Developer for Traffic Management
[Previous job description content remains the same]
Deliverables:
1. AI-powered Video Analytics Software with the following components:
a. Edge-based AI engine for analytical applications
b. AI-based detection and classification algorithms for faces, humans, vehicles, and two-wheeled vehicles
c. Analytics modules for intrusion detection, loitering, direction detection, cross-line detection, and non-mask detection
d. AI-based people detection module with characteristic extraction and classification
e. AI-based vehicle detection module with characteristic extraction and classification
2. Traffic Hotspots and Incident Monitoring Solution including:
a. Real-time/near real-time traffic hotspot identification and reporting system
b. Traffic flow and average speed reporting module for major arterial roads
c. Incident capture and reporting system, including citizen reporting functionality
d. Cloud-native, RESTful API-based system architecture
e. Automated SOP trigger system for incident reports to Command Control
f. Daily MIS report generation module for road planners