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AWS Video Analysis Dashboard main
Real-time video processing with AWS AI services & Intelligent Agents
Amazon Rekognition
AWS Bedrock
Amazon Kinesis
Amazon SNS
Amazon S3
Bedrock Agent
Sessions
Session Details
Screen Recording
Video Feeds
Kinesis Stream
Video Processing
Face Registration
Agent Management
Prompt Management
Configuration
Session Management
Recent Sessions
No sessions yet. Create your first session!
Live Video Source
Camera not started
Analysis Results
Status:
Waiting for analysis...
Authentication Status
Not authenticated
Event History
No events yet
Bedrock Analysis
No Bedrock analysis yet. Click "Analyze with Bedrock" to get detailed insights.
Gaze Detection Control
Detect if people are looking at the camera or away
Processing Status:
🔴 Inactive
Current State:
Unknown
Faces Detected:
0
Individual Gaze:
-
Gaze detection ready
Smart Analysis Control
Automatically analyze images based on changes and intervals
Automatically analyze video clips based on activity
Detect significant changes in the video feed
Smart analysis settings not applied
Image Analyses:
0
Video Analyses:
0
Changes Detected:
0
Last Analysis:
Never
Ask About Real-time Video
Ready to analyze live video
Screen Recording
Ready to record screen. Choose a capture source and click "Start Recording".
Recorded Videos Library
Session Folders
No Sessions Yet
Create a session to organize your recordings
Screen Recording Analysis
Status:
No screen recording analyzed yet
Screen Recording Insights
Upload a screen recording to get detailed analysis and insights.
Save & Manage Recordings
Recent Recordings
0
Total Channels
0
Live Now
0
Viewers
0
Frames Processed
Live Video Channels
Loading channels...
Please wait while we load your video channels
App Integration SDK
Share these details with your app developers to enable streaming to this dashboard.
Quick Integration Steps:
- Create a channel above to get
feed_idandstream_key - Use the
/api/feeds/{feed_id}/ingest/startendpoint to begin streaming - Send frames to
/api/feeds/{feed_id}/ingest/frameas base64 JPEG - Call
/api/feeds/{feed_id}/ingest/stopwhen done - Send keep-alive every 30 seconds to maintain connection
JavaScript Example
const client = {
feedId: 'your-feed-id',
streamKey: 'your-stream-key',
async startStream() {
return fetch(`/api/feeds/${this.feedId}/ingest/start`, {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({stream_key: this.streamKey})
});
},
async sendFrame(imageData) {
return fetch(`/api/feeds/${this.feedId}/ingest/frame`, {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
stream_key: this.streamKey,
image: imageData
})
});
}
};
Python Example
import requests
import cv2
import base64
class FeedClient:
def __init__(self, feed_id, stream_key):
self.feed_id = feed_id
self.stream_key = stream_key
def send_frame(self, frame):
_, jpeg = cv2.imencode('.jpg', frame)
image_data = base64.b64encode(jpeg).decode()
return requests.post(
f"/api/feeds/{self.feed_id}/ingest/frame",
json={
"stream_key": self.stream_key,
"image": f"data:image/jpeg;base64,{image_data}"
}
)
Kinesis Video Stream
Stream not started
Kinesis Video Playback
Note: For actual Kinesis Video playback, you would need to use the Kinesis Video Streams Web Viewer or implement a player using the Kinesis Video Streams Parsing Library.
Kinesis Video playback requires additional setup beyond this demo scope.
Stream Information
Status:
No active stream
Frames Sent:
0
Stream Name:
N/A
Data Retention:
24 hours
Troubleshooting
If Kinesis streaming isn't working:
- Check your AWS credentials have proper permissions
- Verify the Kinesis stream was created in your AWS console
- Ensure your region is correctly set in the backend
- Check the browser console for any error messages
Video Upload & Processing
Supported formats: MP4, AVI, MOV, MKV, WebM (Max 500MB)
Enable for detailed AI analysis of video content
Ready to upload video
Processing Status
Status:
No active processing jobs
Commit History
No commits yet. Process a video to see commit his.
Ask About Processed Videos
Ready to analyze processed videos
Face Registration
Camera will start automatically when you visit this tab
Registration Results
Status:
No operations performed yet
Registered Faces
No faces registered yet
Active Agent Sessions
Loading sessions...
No active sessions
Manual Escalation
Agent Conversation
Ready to chat with agent
Start a conversation with the agent
Prompt Templates
Manage and customize the prompts used for different AI analysis tasks
Loading prompt templates...
Loading prompt templates...
Create New Prompt Template
Unique identifier for this prompt template
Use {variable_name} for dynamic values that will be replaced during execution
{people_count}
{emotions}
{gaze_state}
{gaze_faces}
{security_alerts}
{authenticated_users}
{last_updated}
{question}
{duration}
{total_frames}
{key_emotions}
{main_objects}
{main_activities}
{total_videos}
{total_duration}
{recent_jobs}
{input_text}
Prompt Testing
Enter test data as JSON to see how the prompt will be formatted
Formatted Prompt Output:
Test output will appear here...
AWS Configuration
Configuration not saved
SNS Topic Configuration
Loading SNS configuration...
SNS configuration not loaded
SNS Notification History
No notifications yet
Notification history loaded
Service Status
Rekognition Collection:
Unknown
Kinesis Stream:
Unknown
SNS Topic:
Unknown
Bedrock Access:
Unknown
S3 Bucket:
Unknown
Bedrock Agent:
Unknown
Troubleshooting
Common Bedrock Issues:
- Bedrock access must be requested through AWS console
- Ensure your IAM role has permissions for Bedrock
- Check that the Bedrock service is available in your region
Common Kinesis Issues:
- Verify IAM permissions for Kinesis Video Streams
- Check that the stream was created successfully
- Ensure your region matches between app and console
Common S3 Issues:
- Verify IAM permissions for S3 access
- Check that the bucket exists in the correct region
- Ensure bucket policy allows access from your EC2 role