PATENT CLAIM ANALYSIS

Application Number: 16102334
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["340", "932200"]

Abstract:
An object acquisition system is provided for acquiring objects, for example, trucks, passenger automobiles, buses, etc. on large surfaces, such as parking areas. The system comprises an acquisition device having a fastening unit for fastening the data acquisition unit on a fastening object, a pivot motorconnected to the fastening unit, a pivot arm, which is coupled at one end to the pivot motor such that the pivot arm is pivotable by means of the pivot motor about an axis of rotation, a control unit for controlling the pivot motor, and a data acquisition unit for acquiring object information, wherein the data acquisition unit is attached spaced apart from the axis of rotation on the pivot arm. Furthermore, the system comprises a computation unit for computing a 3D dataset from the data of the data acquisition unit and data with respect to the movement of the pivot motor.

Claim (Index 3):
The object acquisition system according to  claim 1 , wherein:\n the fastening unit is designed for fastening the data acquisition unit on a substantially vertical surface; and the data acquisition unit is attached to the pivot arm such that an acquisition region of the data acquisition unit is aligned parallel to the axis of rotation, and in particular in the direction of a surface or large surface to be monitored.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 96.0
- Lexical Diversity: 2.37681
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11707859', '14319309', '15181516', '12249652', '14902712']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6650058566252267
- 35 USC 102 Novelty (BERT): 0.4885439028803818
- Combined Prediction Score: 0.6473596612507422
- Mean Citation Score: 117.965969
- Max Citation Score: 122.708694
- Similarity Product: 78.69236414886831

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test