DeepinMind Face Recognition Security Setup
Budget: $250 – $750 CAD
Description
I am looking for a Hikvision specialist with real DeepinMind experience to help configure and optimize an existing system remotely.
System:
Hikvision 32-channel 2U 8K DeepinMind NVR (iDS-9632NXIM8/X)
This is not a basic install job. I need someone who understands Hikvision AI features at a technical level.
Work will be done via remote session (screen share).
Scope
1. Camera Placement Strategy
Review layout (restaurant environment)
Recommend placement for:
accurate face recognition
entry/exit tracking
staff movement tracking
Advise on:
height, angle, distance
choke points vs wide coverage
lighting for AI accuracy
2. DeepinMind Configuration
Face recognition:
face library setup
matching thresholds
capture tuning
Smart events:
line crossing
intrusion detection
region rules
AI optimization:
reduce false positives
improve detection reliability
Search:
face search
event playback filtering
3. System Optimization
Review full configuration
Optimize DeepinMind resource usage
Ensure all AI features are functioning correctly
Requirements
You must have:
Direct experience with Hikvision DeepinMind systems
Experience with face recognition and smart analytics
Ability to guide step-by-step remotely
To Apply
Include:
Hikvision models you have worked with (DeepinMind preferred)
Example of a face recognition or AI setup you configured
Your availability for a live session
Screening Question (required)
Explain how you would set up face recognition on a Hikvision DeepinMind system for tracking staff at an entrance, including camera placement and how to reduce false positives.
I am looking for a Hikvision specialist with real DeepinMind experience to help configure and optimize an existing system remotely.
System:
Hikvision 32-channel 2U 8K DeepinMind NVR (iDS-9632NXIM8/X)
This is not a basic install job. I need someone who understands Hikvision AI features at a technical level.
Work will be done via remote session (screen share).
Scope
1. Camera Placement Strategy
Review layout (restaurant environment)
Recommend placement for:
accurate face recognition
entry/exit tracking
staff movement tracking
Advise on:
height, angle, distance
choke points vs wide coverage
lighting for AI accuracy
2. DeepinMind Configuration
Face recognition:
face library setup
matching thresholds
capture tuning
Smart events:
line crossing
intrusion detection
region rules
AI optimization:
reduce false positives
improve detection reliability
Search:
face search
event playback filtering
3. System Optimization
Review full configuration
Optimize DeepinMind resource usage
Ensure all AI features are functioning correctly
Requirements
You must have:
Direct experience with Hikvision DeepinMind systems
Experience with face recognition and smart analytics
Ability to guide step-by-step remotely
To Apply
Include:
Hikvision models you have worked with (DeepinMind preferred)
Example of a face recognition or AI setup you configured
Your availability for a live session
Screening Question (required)
Explain how you would set up face recognition on a Hikvision DeepinMind system for tracking staff at an entrance, including camera placement and how to reduce false positives.
Related categories:
Engineering
Matlab and Mathematica
Computer Security
Algorithm
Technical Support
Face Recognition