Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
AI video
Job Details
Role: Video Analytics Engineer
Location: Memphis TN, onsite
Rate: Competitive
Long term
Summary
Video analytics and Computer Vision technology can transform cities into smarter, safer, and more efficient environments.
AI-powered video analysis can monitor congestion, detect accidents, and adjust traffic signals dynamically to improve flow. Computer vision can identify suspicious activities and enhance emergency response by analyzing live video feeds. Smart parking systems can use video analytics to detect available spots.
Video analytics and Computer Vision technology can transform cities into smarter, safer, and more efficient environments.
AI-powered video analysis can monitor congestion, detect accidents, and adjust traffic signals dynamically to improve flow. Computer vision can identify suspicious activities and enhance emergency response by analyzing live video feeds. Smart parking systems can use video analytics to detect available spots.
Video analytics can identify potholes in roads and bridges. Cities worldwide are integrating these technologies to improve urban living.
Responsibilities include detecting complex events from video streams, designing fully contextualized and actionable alerts, and developing automated workflows to enhance the quality of life and attractiveness of Memphis as a place to live and visit.
Responsibilities
Assist with video camera initial set up, configuration, management, instrumentation, monitoring, and security configurations.
Evaluate third-party computer vision tools and libraries to drive innovation and automation.
Implement algorithms for object tracking, unusual pattern recognition and scene detection.
Optimize algorithms performance and solution reliability in real-time video workflows.
Integrate machine learning models from different vendors with Enterprise Video Management Systems and workflow engines.
Design, develop, and deploy scalable, comprehensive computer vision solutions.
Qualifications
Good understanding of computer vision principles as used in video analysis.
Familiarity with algorithms for object/people detection, image and video segmentation, and background subtraction.
Background in data analytics and data science.
Experience with Python development.
Experience with Docker and Kubernetes for containerization and orchestration.
Responsibilities include detecting complex events from video streams, designing fully contextualized and actionable alerts, and developing automated workflows to enhance the quality of life and attractiveness of Memphis as a place to live and visit.
Responsibilities
Assist with video camera initial set up, configuration, management, instrumentation, monitoring, and security configurations.
Evaluate third-party computer vision tools and libraries to drive innovation and automation.
Implement algorithms for object tracking, unusual pattern recognition and scene detection.
Optimize algorithms performance and solution reliability in real-time video workflows.
Integrate machine learning models from different vendors with Enterprise Video Management Systems and workflow engines.
Design, develop, and deploy scalable, comprehensive computer vision solutions.
Qualifications
Good understanding of computer vision principles as used in video analysis.
Familiarity with algorithms for object/people detection, image and video segmentation, and background subtraction.
Background in data analytics and data science.
Experience with Python development.
Experience with Docker and Kubernetes for containerization and orchestration.
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